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Duplicate from Lightricks/LTX-Video
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- .gitattributes +62 -0
- LTX-Video-Open-Weights-License-0.X.txt +63 -0
- README.md +301 -0
- ltx-video-2b-v0.9.1.license.txt +68 -0
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- text_encoder/model-00002-of-00004.safetensors +3 -0
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LTX-Video-Open-Weights-License-0.X.txt
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LTX Video ("LTXV")
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By Lightricks Ltd. ("Lightricks")
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LTXV Open Weights License 0.X
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License date: April 15, 2025
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(This license is applicable to all LTXV model versions released since April 15, 2025 (v0.9.6))
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By using or distributing any portion or element of the Model (including, without limitation, the Complementary Materials), you agree to be bound by this Agreement.
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1. Definitions
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1.1. "Agreement" means the terms and conditions for the license, use, reproduction, and distribution of the Model and the Complementary Materials, as specified in this document.
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1.2. "Complementary Material" means the accompanying source code and scripts used to define, run, load, benchmark or evaluate the Model, and used to prepare data for training or evaluation, if any. This includes any accompanying documentation, tutorials, examples, etc., if any.
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1.3. "Data" means a collection of information and/or content extracted from the dataset used with the Model, including to train, pretrain, or otherwise evaluate the Model. The Data is not licensed under this Agreement.
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1.4. "Derivatives of the Model" means all modifications to the Model, works based on the Model, or any other model which is created or initialized by transfer of patterns of the weights, parameters, activations or output of the Model, to the other model, in order to cause the other model to perform similarly to the Model, including – but not limited to - distillation methods entailing the use of intermediate data representations or methods based on the generation of synthetic data by the Model for training the other model.
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1.5. "Harm" includes but is not limited to physical, mental, psychological, financial and reputational damage, pain, or loss.
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1.6. "Licensor" means the owner that is granting the license under this Agreement. For the purposes of this Agreement, the Licensor is Lightricks Ltd.
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1.7. "Model" means any accompanying machine-learning based assemblies (including checkpoints), consisting of learnt weights, parameters (including optimizer states), corresponding to the Lightricks' Model "LTX-Video" as of version 0.9.6 (released on April 15, 2024) and future releases as may be released by Lightricks under this license model architecture as embodied in the Complementary Material, that have been trained or tuned, in whole or in part on the Data, using the Complementary Material.
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1.8. "Output" means the results of operating a Model as embodied in informational content resulting therefrom.
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1.9. "you" (or "your") means an individual or legal entity licensing the Model in accordance with this Agreement and/or making use of the Model for whichever purpose and in any field of use, including usage of the Model in an end-use application - e.g. chatbot, translator, image generator.
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2. Grant of License. Subject to the terms and conditions of this Agreement, you are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Licensor's intellectual property or other rights owned by Licensor embodied in the Model and/or the Complementary Materials to use, reproduce, prepare, distribute, publicly display, publicly perform, sublicense, copy, create derivative works of, and make modifications to the Model, for any purpose, subject to the restrictions set forth in Attachment A; provided however, that entities with annual revenues of at least $10,000,000 (the "Commercial Entities") are eligible to obtain a paid commercial use license, subject to the terms and provisions of a different license (the "Commercial Use Agreement"), as will be provided by the Licensor. Commercial Entities interested in such a commercial license are required to contact Licensor at [email protected]. Any commercial use of the Model or Derivatives of the Model by the Commercial Entities not in accordance with this Agreement and/or the Commercial Use Agreement is strictly prohibited and shall be deemed a material breach of this Agreement. Such material breach will be subject, in addition to any license fees owed to Licensor for the period such Commercial Entity used the Model (as will be determined by Licensor), to liquidated damages, which will be paid to Licensor immediately upon demand, in an amount equal to double the amount that would otherwise have been paid by you for the relevant period of time. Such amount reflects a reasonable estimation of the losses and administrative costs incurred due to such breach. You agree and understand that this remedy does not limit the Licensor's right to pursue other remedies available at law or equity.
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3. Distribution and Redistribution. You may host for third parties remote access purposes (e.g. software-as-a-service), reproduce and distribute copies of the Model or Derivatives of the Model thereof in any medium, with or without modifications, provided that you meet the following conditions:
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3.1. Use-based restrictions as referenced in paragraph 4 MUST be included as an enforceable provision by you in any type of legal agreement (e.g. a license) governing the use and/or distribution of the Model or Derivatives of the Model, and you shall give notice to subsequent users you distribute to, that the Model or Derivatives of the Model are subject to paragraph 4. This provision does not apply to the use of Complementary Material.
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3.2. You must give any third party recipients of the Model or Derivatives of the Model a copy of this Agreement;
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3.3. You must cause any modified files to carry prominent notices stating that you changed the files;
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3.4. You must retain all copyright, patent, trademark, and attribution notices excluding those notices that do not pertain to any part of the Model, Derivatives of the Model.
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You may add your own copyright statement to your modifications and may provide additional or different license terms and conditions - respecting paragraph 3.1 - for use, reproduction, or distribution of your modifications, or for any such Derivatives of the Model as a whole, provided your use, reproduction, and distribution of the Model otherwise complies with the conditions stated in this Agreement.
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4. Use-based restrictions. The restrictions set forth in Attachment A are considered Use-based restrictions. Therefore, you cannot use the Model and the Derivatives of the Model in violation of the specified restricted uses. You may use the Model subject to this Agreement, including only for lawful purposes and in accordance with the Agreement. "Use" may include creating any content with, fine-tuning, updating, running, training, evaluating and/or re-parametrizing the Model. You shall require all of your users who use the Model or a Derivative of the Model to comply with the terms of this paragraph 4.
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5. The Output You Generate. Except as set forth herein, Licensor claims no rights in the Output you generate using the Model. You are accountable for input you insert into the Model, the Output you generate and its subsequent uses. No use of the Output can contravene any provision as stated in the Agreement.
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6. Updates and Runtime Restrictions. To the maximum extent permitted by law, Licensor reserves the right to restrict (remotely or otherwise) usage of the Model in violation of this Agreement, update the Model through electronic means, or modify the Output of the Model based on updates. You shall undertake reasonable efforts to use the latest version of the Model. Any use of the non-current version of the Model is done solely at your risk.
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7. Trademarks and related. Nothing in this Agreement permits you to make use of Licensor's trademarks, trade names, logos or to otherwise suggest endorsement or misrepresent the relationship between the parties; and any rights not expressly granted herein are reserved by the Licensor.
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8. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Model and the Complementary Material on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Model, Derivatives of the Model, and the Complementary Material and assume any risks associated with your exercise of permissions under this Agreement.
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9. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall Licensor be liable to you for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this Agreement or out of the use or inability to use the Model and the Complementary Material (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if Licensor has been advised of the possibility of such damages.
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10. Accepting Warranty or Additional Liability. While redistributing the Model, Derivatives of the Model and the Complementary Material thereof, you may, provided you do not violate the terms of this Agreement, choose to offer and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations. However, in accepting such obligations, you may act only on your own behalf and on your sole responsibility, not on behalf of Licensor, and only if you agree to indemnify, defend, and hold Licensor harmless for any liability incurred by, or claims asserted against Licensor, by reason of your accepting any such warranty or additional liability.
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11. Governing Law. This Agreement and all relations, disputes, claims and other matters arising hereunder (including non-contractual disputes or claims) will be governed exclusively by, and construed exclusively in accordance with, the laws of the State of New York. To the extent permitted by law, choice of laws rules and the United Nations Convention on Contracts for the International Sale of Goods will not apply. For the purposes of adjudicating any action or proceeding to enforce the terms of this Agreement, you hereby irrevocably consent to the exclusive jurisdiction of, and venue in, the federal and state courts located in the County of New York within the State of New York. The prevailing party in any claim or dispute between the parties under this Agreement will be entitled to reimbursement of its reasonable attorneys' fees and costs. You hereby waive the right to a trial by jury, to participate in a class or representative action (including in arbitration), or to combine individual proceedings in court or in arbitration without the consent of all parties.
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12. Disputes and Arbitration. All disputes arising in connection with this Agreement shall be finally settled by arbitration under the Rules of Arbitration of the International Chamber of Commerce ("ICC Rules"), by one (1) arbitrator appointed in accordance with the ICC Rules. The seat of arbitration shall be New York, NY, USA, and the proceedings shall be conducted in English. The arbitrator shall be empowered to grant any relief that a court could grant. Judgment on the arbitration award may be entered by any court having jurisdiction thereof. Each party waives its right to a trial by jury and to participate in any class or representative action.
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13. If any provision of this Agreement is held to be invalid, illegal or unenforceable, the remaining provisions shall be unaffected thereby and remain valid as if such provision had not been set forth herein.
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END OF TERMS AND CONDITIONS
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Attachment A
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Use Restrictions
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You agree not to use the Model or its Derivatives in any of the following ways:
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(a) In any way that violates any applicable national, federal, state, local or international law or regulation;
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(b) For the purpose of exploiting, Harming or attempting to exploit or Harm minors in any way;
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(c) To generate or disseminate false information and/or content with the purpose of Harming others;
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(d) To generate or disseminate personal identifiable information that can be used to Harm an individual;
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(e) To generate or disseminate information and/or content (e.g. images, code, posts, articles), and place the information and/or content in any context (e.g. bot generating tweets) without expressly and intelligibly disclaiming that the information and/or content is machine generated;
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(f) To defame, disparage or otherwise harass others;
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(g) To impersonate or attempt to impersonate (e.g. deepfakes) others without their consent;
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(h) For fully automated decision making that adversely impacts an individual's legal rights or otherwise creates or modifies a binding, enforceable obligation;
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(i) For any use intended to or which has the effect of discriminating against or Harming individuals or groups based on online or offline social behavior or known or predicted personal or personality characteristics;
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(j) To exploit any of the vulnerabilities of a specific group of persons based on their age, social, physical or mental characteristics, in order to materially distort the behavior of a person pertaining to that group in a manner that causes or is likely to cause that person or another person physical or psychological Harm;
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(k) For any use intended to or which has the effect of discriminating against individuals or groups based on legally protected characteristics or categories;
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(a) To provide medical advice and medical results interpretation;
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(l) To generate or disseminate information for the purpose to be used for administration of justice, law enforcement, immigration or asylum processes, such as predicting an individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use);
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(m) To generate and/or disseminate malware (including – but not limited to – ransomware) or any other content to be used for the purpose of harming electronic systems;
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(n) To engage in, promote, incite, or facilitate discrimination or other unlawful of harmful conduct in the provision of employment, employment benefits, credit, housing, or other essential goods and services;
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(o) To engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals.
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|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- ltx-video
|
4 |
+
- image-to-video
|
5 |
+
pinned: true
|
6 |
+
language:
|
7 |
+
- en
|
8 |
+
license: other
|
9 |
+
library_name: diffusers
|
10 |
+
---
|
11 |
+
|
12 |
+
# LTX-Video Model Card
|
13 |
+
This model card focuses on the model associated with the LTX-Video model, codebase available [here](https://github.com/Lightricks/LTX-Video).
|
14 |
+
|
15 |
+
LTX-Video is the first DiT-based video generation model capable of generating high-quality videos in real-time. It produces 30 FPS videos at a 1216×704 resolution faster than they can be watched. Trained on a large-scale dataset of diverse videos, the model generates high-resolution videos with realistic and varied content.
|
16 |
+
|
17 |
+
<img src="./media/trailer.gif" alt="trailer" width="512">
|
18 |
+
|
19 |
+
### Image-to-video examples
|
20 |
+
| | | |
|
21 |
+
|:---:|:---:|:---:|
|
22 |
+
|  |  |  |
|
23 |
+
|  |  |  |
|
24 |
+
|  |  |  |
|
25 |
+
|
26 |
+
# Models & Workflows
|
27 |
+
|
28 |
+
| Name | Notes | inference.py config | ComfyUI workflow (Recommended) |
|
29 |
+
|----------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
30 |
+
| ltxv-13b-0.9.8-dev | Highest quality, requires more VRAM | [ltxv-13b-0.9.8-dev.yaml](https://github.com/Lightricks/LTX-Video/blob/main/configs/ltxv-13b-0.9.8-dev.yaml) | [ltxv-13b-i2v-base.json](https://github.com/Lightricks/ComfyUI-LTXVideo/blob/master/example_workflows/ltxv-13b-i2v-base.json) |
|
31 |
+
| [ltxv-13b-0.9.8-mix](https://app.ltx.studio/motion-workspace?videoModel=ltxv-13b) | Mix ltxv-13b-dev and ltxv-13b-distilled in the same multi-scale rendering workflow for balanced speed-quality | N/A | [ltxv-13b-i2v-mixed-multiscale.json](https://github.com/Lightricks/ComfyUI-LTXVideo/blob/master/example_workflows/ltxv-13b-i2v-mixed-multiscale.json) |
|
32 |
+
| [ltxv-13b-0.9.8-distilled](https://app.ltx.studio/motion-workspace?videoModel=ltxv) | Faster, less VRAM usage, slight quality reduction compared to 13b. Ideal for rapid iterations | [ltxv-13b-0.9.8-distilled.yaml](https://github.com/Lightricks/LTX-Video/blob/main/configs/ltxv-13b-0.9.8-dev.yaml) | [ltxv-13b-dist-i2v-base.json](https://github.com/Lightricks/ComfyUI-LTXVideo/blob/master/example_workflows/13b-distilled/ltxv-13b-dist-i2v-base.json) |
|
33 |
+
| ltxv-2b-0.9.8-distilled | Smaller model, slight quality reduction compared to 13b distilled. Ideal for light VRAM usage | [ltxv-2b-0.9.8-distilled.yaml](https://github.com/Lightricks/LTX-Video/blob/main/configs/ltxv-2b-0.9.8-dev.yaml) | N/A |
|
34 |
+
| ltxv-13b-0.9.8-fp8 | Quantized version of ltxv-13b | [ltxv-13b-0.9.8-dev-fp8.yaml](https://github.com/Lightricks/LTX-Video/blob/main/configs/ltxv-13b-0.9.8-dev-fp8.yaml) | [ltxv-13b-i2v-base-fp8.json](https://github.com/Lightricks/ComfyUI-LTXVideo/blob/master/example_workflows/ltxv-13b-i2v-base-fp8.json) |
|
35 |
+
| ltxv-13b-0.9.8-distilled-fp8 | Quantized version of ltxv-13b-distilled | [ltxv-13b-0.9.8-distilled-fp8.yaml](https://github.com/Lightricks/LTX-Video/blob/main/configs/ltxv-13b-0.9.8-distilled-fp8.yaml) | [ltxv-13b-dist-i2v-base-fp8.json](https://github.com/Lightricks/ComfyUI-LTXVideo/blob/master/example_workflows/13b-distilled/ltxv-13b-dist-i2v-base-fp8.json) |
|
36 |
+
| ltxv-2b-0.9.8-distilled-fp8 | Quantized version of ltxv-2b-distilled | [ltxv-2b-0.9.8-distilled-fp8.yaml](https://github.com/Lightricks/LTX-Video/blob/main/configs/ltxv-2b-0.9.8-distilled-fp8.yaml) | N/A |
|
37 |
+
| ltxv-2b-0.9.6 | Good quality, lower VRAM requirement than ltxv-13b | [ltxv-2b-0.9.6-dev.yaml](https://github.com/Lightricks/LTX-Video/blob/main/configs/ltxv-2b-0.9.6-dev.yaml) | [ltxvideo-i2v.json](https://github.com/Lightricks/ComfyUI-LTXVideo/blob/master/example_workflows/low_level/ltxvideo-i2v.json) |
|
38 |
+
| ltxv-2b-0.9.6-distilled | 15× faster, real-time capable, fewer steps needed, no STG/CFG required | [ltxv-2b-0.9.6-distilled.yaml](https://github.com/Lightricks/LTX-Video/blob/main/configs/ltxv-2b-0.9.6-distilled.yaml) | [ltxvideo-i2v-distilled.json](https://github.com/Lightricks/ComfyUI-LTXVideo/blob/master/example_workflows/low_level/ltxvideo-i2v-distilled.json) |
|
39 |
+
|
40 |
+
|
41 |
+
## Model Details
|
42 |
+
- **Developed by:** Lightricks
|
43 |
+
- **Model type:** Diffusion-based image-to-video generation model
|
44 |
+
- **Language(s):** English
|
45 |
+
|
46 |
+
|
47 |
+
## Usage
|
48 |
+
|
49 |
+
### Direct use
|
50 |
+
You can use the model for purposes under the license:
|
51 |
+
- 2B version 0.9: [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/ltx-video-2b-v0.9.license.txt)
|
52 |
+
- 2B version 0.9.1 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/ltx-video-2b-v0.9.1.license.txt)
|
53 |
+
- 2B version 0.9.5 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/ltx-video-2b-v0.9.5.license.txt)
|
54 |
+
- 2B version 0.9.6-dev [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
55 |
+
- 2B version 0.9.6-distilled [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
56 |
+
- 13B version 0.9.7-dev [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
57 |
+
- 13B version 0.9.7-dev-fp8 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
58 |
+
- 13B version 0.9.7-distilled [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
59 |
+
- 13B version 0.9.7-distilled-fp8 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
60 |
+
- 13B version 0.9.7-distilled-lora128 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
61 |
+
- 13B version 0.9.7-ICLoRA Depth [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
62 |
+
- 13B version 0.9.7-ICLoRA Pose [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
63 |
+
- 13B version 0.9.7-ICLoRA Canny [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
64 |
+
- Temporal upscaler version 0.9.7 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
65 |
+
- Spatial upscaler version 0.9.7 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
66 |
+
- 13B version 0.9.8-dev [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
67 |
+
- 13B version 0.9.8-dev-fp8 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
68 |
+
- 13B version 0.9.8-distilled [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
69 |
+
- 13B version 0.9.8-distilled-fp8 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
70 |
+
- 2B version 0.9.8-distilled [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
71 |
+
- 2B version 0.9.8-distilled-fp8 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
72 |
+
- 13B version 0.9.8-ICLoRA detailer [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
73 |
+
- Temporal upscaler version 0.9.8 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
74 |
+
- Spatial upscaler version 0.9.8 [license](https://huggingface.co/Lightricks/LTX-Video/blob/main/LTX-Video-Open-Weights-License-0.X.txt)
|
75 |
+
|
76 |
+
### General tips:
|
77 |
+
* The model works on resolutions that are divisible by 32 and number of frames that are divisible by 8 + 1 (e.g. 257). In case the resolution or number of frames are not divisible by 32 or 8 + 1, the input will be padded with -1 and then cropped to the desired resolution and number of frames.
|
78 |
+
* The model works best on resolutions under 720 x 1280 and number of frames below 257.
|
79 |
+
* Prompts should be in English. The more elaborate the better. Good prompt looks like `The turquoise waves crash against the dark, jagged rocks of the shore, sending white foam spraying into the air. The scene is dominated by the stark contrast between the bright blue water and the dark, almost black rocks. The water is a clear, turquoise color, and the waves are capped with white foam. The rocks are dark and jagged, and they are covered in patches of green moss. The shore is lined with lush green vegetation, including trees and bushes. In the background, there are rolling hills covered in dense forest. The sky is cloudy, and the light is dim.`
|
80 |
+
|
81 |
+
### Online demo
|
82 |
+
The model is accessible right away via the following links:
|
83 |
+
- [LTX-Studio image-to-video (13B-mix)](https://app.ltx.studio/motion-workspace?videoModel=ltxv-13b)
|
84 |
+
- [LTX-Studio image-to-video (13B distilled)](https://app.ltx.studio/motion-workspace?videoModel=ltxv)
|
85 |
+
- [Fal.ai image-to-video (13B full)](https://fal.ai/models/fal-ai/ltx-video-13b-dev/image-to-video)
|
86 |
+
- [Fal.ai image-to-video (13B distilled)](https://fal.ai/models/fal-ai/ltx-video-13b-distilled/image-to-video)
|
87 |
+
- [Replicate image-to-video](https://replicate.com/lightricks/ltx-video)
|
88 |
+
|
89 |
+
### ComfyUI
|
90 |
+
To use our model with ComfyUI, please follow the instructions at a dedicated [ComfyUI repo](https://github.com/Lightricks/ComfyUI-LTXVideo/).
|
91 |
+
|
92 |
+
### Run locally
|
93 |
+
|
94 |
+
#### Installation
|
95 |
+
|
96 |
+
The codebase was tested with Python 3.10.5, CUDA version 12.2, and supports PyTorch >= 2.1.2.
|
97 |
+
|
98 |
+
```bash
|
99 |
+
git clone https://github.com/Lightricks/LTX-Video.git
|
100 |
+
cd LTX-Video
|
101 |
+
|
102 |
+
# create env
|
103 |
+
python -m venv env
|
104 |
+
source env/bin/activate
|
105 |
+
python -m pip install -e .\[inference-script\]
|
106 |
+
```
|
107 |
+
|
108 |
+
#### Inference
|
109 |
+
|
110 |
+
To use our model, please follow the inference code in [inference.py](https://github.com/Lightricks/LTX-Video/blob/main/inference.py):
|
111 |
+
|
112 |
+
|
113 |
+
#### For image-to-video generation:
|
114 |
+
|
115 |
+
```bash
|
116 |
+
python inference.py --prompt "PROMPT" --input_image_path IMAGE_PATH --height HEIGHT --width WIDTH --num_frames NUM_FRAMES --seed SEED --pipeline_config configs/ltxv-13b-0.9.8-distilled.yaml
|
117 |
+
```
|
118 |
+
|
119 |
+
#### For video generation with multiple conditions:
|
120 |
+
|
121 |
+
You can now generate a video conditioned on a set of images and/or short video segments.
|
122 |
+
Simply provide a list of paths to the images or video segments you want to condition on, along with their target frame numbers in the generated video. You can also specify the conditioning strength for each item (default: 1.0).
|
123 |
+
|
124 |
+
```bash
|
125 |
+
python inference.py --prompt "PROMPT" --conditioning_media_paths IMAGE_OR_VIDEO_PATH_1 IMAGE_OR_VIDEO_PATH_2 --conditioning_start_frames TARGET_FRAME_1 TARGET_FRAME_2 --height HEIGHT --width WIDTH --num_frames NUM_FRAMES --seed SEED --pipeline_config configs/ltxv-13b-0.9.8-distilled.yaml
|
126 |
+
```
|
127 |
+
|
128 |
+
### Diffusers 🧨
|
129 |
+
|
130 |
+
LTX Video is compatible with the [Diffusers Python library](https://huggingface.co/docs/diffusers/main/en/index) for image-to-video generation.
|
131 |
+
|
132 |
+
Make sure you install `diffusers` before trying out the examples below.
|
133 |
+
|
134 |
+
```bash
|
135 |
+
pip install -U git+https://github.com/huggingface/diffusers
|
136 |
+
```
|
137 |
+
|
138 |
+
Now, you can run the examples below (note that the upsampling stage is optional but reccomeneded):
|
139 |
+
|
140 |
+
|
141 |
+
### For image-to-video:
|
142 |
+
|
143 |
+
```py
|
144 |
+
import torch
|
145 |
+
from diffusers import LTXConditionPipeline, LTXLatentUpsamplePipeline
|
146 |
+
from diffusers.pipelines.ltx.pipeline_ltx_condition import LTXVideoCondition
|
147 |
+
from diffusers.utils import export_to_video, load_image, load_video
|
148 |
+
|
149 |
+
pipe = LTXConditionPipeline.from_pretrained("Lightricks/LTX-Video-0.9.8-dev", torch_dtype=torch.bfloat16)
|
150 |
+
pipe_upsample = LTXLatentUpsamplePipeline.from_pretrained("Lightricks/ltxv-spatial-upscaler-0.9.8", vae=pipe.vae, torch_dtype=torch.bfloat16)
|
151 |
+
pipe.to("cuda")
|
152 |
+
pipe_upsample.to("cuda")
|
153 |
+
pipe.vae.enable_tiling()
|
154 |
+
|
155 |
+
def round_to_nearest_resolution_acceptable_by_vae(height, width):
|
156 |
+
height = height - (height % pipe.vae_spatial_compression_ratio)
|
157 |
+
width = width - (width % pipe.vae_spatial_compression_ratio)
|
158 |
+
return height, width
|
159 |
+
|
160 |
+
image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/penguin.png")
|
161 |
+
video = load_video(export_to_video([image])) # compress the image using video compression as the model was trained on videos
|
162 |
+
condition1 = LTXVideoCondition(video=video, frame_index=0)
|
163 |
+
|
164 |
+
prompt = "A cute little penguin takes out a book and starts reading it"
|
165 |
+
negative_prompt = "worst quality, inconsistent motion, blurry, jittery, distorted"
|
166 |
+
expected_height, expected_width = 480, 832
|
167 |
+
downscale_factor = 2 / 3
|
168 |
+
num_frames = 96
|
169 |
+
|
170 |
+
# Part 1. Generate video at smaller resolution
|
171 |
+
downscaled_height, downscaled_width = int(expected_height * downscale_factor), int(expected_width * downscale_factor)
|
172 |
+
downscaled_height, downscaled_width = round_to_nearest_resolution_acceptable_by_vae(downscaled_height, downscaled_width)
|
173 |
+
latents = pipe(
|
174 |
+
conditions=[condition1],
|
175 |
+
prompt=prompt,
|
176 |
+
negative_prompt=negative_prompt,
|
177 |
+
width=downscaled_width,
|
178 |
+
height=downscaled_height,
|
179 |
+
num_frames=num_frames,
|
180 |
+
num_inference_steps=30,
|
181 |
+
generator=torch.Generator().manual_seed(0),
|
182 |
+
output_type="latent",
|
183 |
+
).frames
|
184 |
+
|
185 |
+
# Part 2. Upscale generated video using latent upsampler with fewer inference steps
|
186 |
+
# The available latent upsampler upscales the height/width by 2x
|
187 |
+
upscaled_height, upscaled_width = downscaled_height * 2, downscaled_width * 2
|
188 |
+
upscaled_latents = pipe_upsample(
|
189 |
+
latents=latents,
|
190 |
+
output_type="latent"
|
191 |
+
).frames
|
192 |
+
|
193 |
+
# Part 3. Denoise the upscaled video with few steps to improve texture (optional, but recommended)
|
194 |
+
video = pipe(
|
195 |
+
conditions=[condition1],
|
196 |
+
prompt=prompt,
|
197 |
+
negative_prompt=negative_prompt,
|
198 |
+
width=upscaled_width,
|
199 |
+
height=upscaled_height,
|
200 |
+
num_frames=num_frames,
|
201 |
+
denoise_strength=0.4, # Effectively, 4 inference steps out of 10
|
202 |
+
num_inference_steps=10,
|
203 |
+
latents=upscaled_latents,
|
204 |
+
decode_timestep=0.05,
|
205 |
+
image_cond_noise_scale=0.025,
|
206 |
+
generator=torch.Generator().manual_seed(0),
|
207 |
+
output_type="pil",
|
208 |
+
).frames[0]
|
209 |
+
|
210 |
+
# Part 4. Downscale the video to the expected resolution
|
211 |
+
video = [frame.resize((expected_width, expected_height)) for frame in video]
|
212 |
+
|
213 |
+
export_to_video(video, "output.mp4", fps=24)
|
214 |
+
```
|
215 |
+
|
216 |
+
|
217 |
+
### For video-to-video:
|
218 |
+
|
219 |
+
```py
|
220 |
+
import torch
|
221 |
+
from diffusers import LTXConditionPipeline, LTXLatentUpsamplePipeline
|
222 |
+
from diffusers.pipelines.ltx.pipeline_ltx_condition import LTXVideoCondition
|
223 |
+
from diffusers.utils import export_to_video, load_video
|
224 |
+
|
225 |
+
pipe = LTXConditionPipeline.from_pretrained("Lightricks/LTX-Video-0.9.8-dev", torch_dtype=torch.bfloat16)
|
226 |
+
pipe_upsample = LTXLatentUpsamplePipeline.from_pretrained("Lightricks/ltxv-spatial-upscaler-0.9.8", vae=pipe.vae, torch_dtype=torch.bfloat16)
|
227 |
+
pipe.to("cuda")
|
228 |
+
pipe_upsample.to("cuda")
|
229 |
+
pipe.vae.enable_tiling()
|
230 |
+
|
231 |
+
def round_to_nearest_resolution_acceptable_by_vae(height, width):
|
232 |
+
height = height - (height % pipe.vae_spatial_compression_ratio)
|
233 |
+
width = width - (width % pipe.vae_spatial_compression_ratio)
|
234 |
+
return height, width
|
235 |
+
|
236 |
+
video = load_video(
|
237 |
+
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cosmos/cosmos-video2world-input-vid.mp4"
|
238 |
+
)[:21] # Use only the first 21 frames as conditioning
|
239 |
+
condition1 = LTXVideoCondition(video=video, frame_index=0)
|
240 |
+
|
241 |
+
prompt = "The video depicts a winding mountain road covered in snow, with a single vehicle traveling along it. The road is flanked by steep, rocky cliffs and sparse vegetation. The landscape is characterized by rugged terrain and a river visible in the distance. The scene captures the solitude and beauty of a winter drive through a mountainous region."
|
242 |
+
negative_prompt = "worst quality, inconsistent motion, blurry, jittery, distorted"
|
243 |
+
expected_height, expected_width = 768, 1152
|
244 |
+
downscale_factor = 2 / 3
|
245 |
+
num_frames = 161
|
246 |
+
|
247 |
+
# Part 1. Generate video at smaller resolution
|
248 |
+
downscaled_height, downscaled_width = int(expected_height * downscale_factor), int(expected_width * downscale_factor)
|
249 |
+
downscaled_height, downscaled_width = round_to_nearest_resolution_acceptable_by_vae(downscaled_height, downscaled_width)
|
250 |
+
latents = pipe(
|
251 |
+
conditions=[condition1],
|
252 |
+
prompt=prompt,
|
253 |
+
negative_prompt=negative_prompt,
|
254 |
+
width=downscaled_width,
|
255 |
+
height=downscaled_height,
|
256 |
+
num_frames=num_frames,
|
257 |
+
num_inference_steps=30,
|
258 |
+
generator=torch.Generator().manual_seed(0),
|
259 |
+
output_type="latent",
|
260 |
+
).frames
|
261 |
+
|
262 |
+
# Part 2. Upscale generated video using latent upsampler with fewer inference steps
|
263 |
+
# The available latent upsampler upscales the height/width by 2x
|
264 |
+
upscaled_height, upscaled_width = downscaled_height * 2, downscaled_width * 2
|
265 |
+
upscaled_latents = pipe_upsample(
|
266 |
+
latents=latents,
|
267 |
+
output_type="latent"
|
268 |
+
).frames
|
269 |
+
|
270 |
+
# Part 3. Denoise the upscaled video with few steps to improve texture (optional, but recommended)
|
271 |
+
video = pipe(
|
272 |
+
conditions=[condition1],
|
273 |
+
prompt=prompt,
|
274 |
+
negative_prompt=negative_prompt,
|
275 |
+
width=upscaled_width,
|
276 |
+
height=upscaled_height,
|
277 |
+
num_frames=num_frames,
|
278 |
+
denoise_strength=0.4, # Effectively, 4 inference steps out of 10
|
279 |
+
num_inference_steps=10,
|
280 |
+
latents=upscaled_latents,
|
281 |
+
decode_timestep=0.05,
|
282 |
+
image_cond_noise_scale=0.025,
|
283 |
+
generator=torch.Generator().manual_seed(0),
|
284 |
+
output_type="pil",
|
285 |
+
).frames[0]
|
286 |
+
|
287 |
+
# Part 4. Downscale the video to the expected resolution
|
288 |
+
video = [frame.resize((expected_width, expected_height)) for frame in video]
|
289 |
+
|
290 |
+
export_to_video(video, "output.mp4", fps=24)
|
291 |
+
```
|
292 |
+
|
293 |
+
To learn more, check out the [official documentation](https://huggingface.co/docs/diffusers/main/en/api/pipelines/ltx_video).
|
294 |
+
|
295 |
+
Diffusers also supports directly loading from the original LTX checkpoints using the `from_single_file()` method. Check out [this section](https://huggingface.co/docs/diffusers/main/en/api/pipelines/ltx_video#loading-single-files) to learn more.
|
296 |
+
|
297 |
+
## Limitations
|
298 |
+
- This model is not intended or able to provide factual information.
|
299 |
+
- As a statistical model this checkpoint might amplify existing societal biases.
|
300 |
+
- The model may fail to generate videos that matches the prompts perfectly.
|
301 |
+
- Prompt following is heavily influenced by the prompting-style.
|
ltx-video-2b-v0.9.1.license.txt
ADDED
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
LTX Video 0.9.1 (“LTXV”)
|
2 |
+
By Lightricks Ltd. (“Lightricks”)
|
3 |
+
RAIL-M License
|
4 |
+
dated November 22, 2024
|
5 |
+
Section I: PREAMBLE
|
6 |
+
Multimodal generative models are being widely adopted and used, and have the potential to transform the way artists, among other individuals, conceive and benefit from artificial intelligence (“AI”) or ML technologies as a tool for content creation. Notwithstanding the current and potential benefits that these artifacts can bring to society at large, there are also concerns about potential misuses of them, either due to their technical limitations or ethical considerations.
|
7 |
+
The development and use of AI does not come without concerns. The world has witnessed how AI techniques may, in some instances, become risky for the public in general. These risks come in many forms, from racial discrimination to the misuse of sensitive information.
|
8 |
+
This RAIL-M License is generally applicable to any machine-learning Model (as defined below). The “RAIL” nomenclature indicates that there are use restrictions prohibiting the use of the Model. These restrictions are intended to avoid potential misuse by not permitting the use of the Model in very specific scenarios, in order for the licensor to be able to enforce the license in case a potential misuse of the Model may occur. Even though derivative versions of the Model could be released under different licensing terms, the License (as defined below) specifies that the use restrictions in the original License must apply to such derivative versions. This License governs the use of the Model (and its derivatives) and is informed by the model card associated with the Model.
|
9 |
+
NOW THEREFORE, You and Licensor agree as follows:
|
10 |
+
1. Definitions
|
11 |
+
1. “Complementary Material” means the applicable source code and scripts used to define, run, load, benchmark or evaluate the Model, and used to prepare data for training or evaluation, if any. This includes any accompanying documentation, tutorials, examples, etc, if any. Complementary Material is not licensed under this License.
|
12 |
+
2. “Contribution” means any work of authorship, including the original version of the Model and any modifications or additions to that Model or Derivatives of the Model thereof, that is intentionally submitted to Licensor for inclusion in the Model by the rights owner or by an individual or legal entity authorized to submit on behalf of the rights owner. For the purposes of this definition, “submitted” means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Model, but excluding communication that is conspicuously marked or otherwise designated in writing by the rights owner as “Not a Contribution.”
|
13 |
+
3. “Contributor” means Licensor and any individual or legal entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Model.
|
14 |
+
4. “Data” means a collection of information and/or content extracted from the dataset used with the Model, including to train, pretrain, or otherwise evaluate the Model. The Data is not licensed under this License.
|
15 |
+
5. “Derivatives of the Model” means all modifications to the Model, works based on the Model, or any other model which is created or initialized by transfer of patterns of the weights, parameters, activations or output of the Model, to the other model, in order to cause the other model to perform similarly to the Model, including – but not limited to – distillation methods entailing the use of intermediate data representations or methods based on the generation of synthetic data by the Model for training the other model.
|
16 |
+
6. “Distribution” means any transmission, reproduction, publication or other sharing of the Model or Derivatives of the Model to a third party, including providing the Model as a hosted service made available by electronic or other remote means – e.g. API-based or web access.
|
17 |
+
7. “Harm” includes but is not limited to physical, mental, psychological, financial and reputational damage, pain, or loss.
|
18 |
+
8. “License” means the terms and conditions for use, reproduction, and Distribution as defined in this document.
|
19 |
+
9. “Licensor” means the rights owner or entity authorized by the rights owner that is granting the License, including the persons or entities that may have rights in the Model and/or distributing the Model. For the purposes of this License, the Licensor is Lightricks Ltd.
|
20 |
+
10. “Model” means any accompanying machine-learning based assemblies (including checkpoints), consisting of learnt weights, parameters (including optimizer states), corresponding to the Lightricks’ Model “LTX Video 0.9” model architecture as embodied in the Complementary Material, that have been trained or tuned, in whole or in part on the Data, using the Complementary Material.
|
21 |
+
11. ”Output” means the results of operating a Model as embodied in informational content resulting therefrom.
|
22 |
+
12. “Permitted Purpose” means for academic or research purposes only, and explicitly excludes commercialization such as downstream selling of the Model or Derivatives of the Model.
|
23 |
+
13. “Third Parties” means individuals or legal entities that are not under common control with Licensor or You.
|
24 |
+
14. “You” (or “Your”) means an individual or legal entity exercising permissions granted by this License and/or making use of the Model for whichever purpose and in any field of use, including usage of the Model in an end-use application – e.g. chatbot, translator, image generator.
|
25 |
+
Section II: INTELLECTUAL PROPERTY RIGHTS
|
26 |
+
Both copyright and patent grants apply to the Model and Derivatives of the Model. The Model and Derivatives of the Model are subject to additional terms as described in Section III, which shall govern the use of the Model and Derivatives of the Model even in the event Section II is held unenforceable.
|
27 |
+
2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare, publicly display, publicly perform, sublicense, and distribute the Model and Derivatives of the Model, only for the Permitted Purpose.
|
28 |
+
3. Grant of Patent License. Subject to the terms and conditions of this License and where and as applicable, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this paragraph) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Model and/or Derivatives of the Model, but only for the Permitted Purpose. Such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Model or Derivatives of the Model to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Model or Derivative of the Model and/or a Contribution incorporated within the Model or Derivative of the Model constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for the Model and/or Derivative of the Model shall terminate as of the date such litigation is asserted or filed.
|
29 |
+
Section III: CONDITIONS OF USAGE, DISTRIBUTION AND REDISTRIBUTION
|
30 |
+
4. Distribution and Redistribution. You may host for Third Party remote access purposes (e.g. software-as-a-service), reproduce and distribute copies of the Model or Derivatives of the Model thereof in any medium, with or without modifications, provided that You meet the following conditions:
|
31 |
+
1. Use-based restrictions as referenced in paragraph 5 MUST be included as an enforceable provision by You in any type of legal agreement (e.g. a license) governing the use and/or distribution of the Model or Derivatives of the Model, and You shall give notice to subsequent users You Distribute to, that the Model or Derivatives of the Model are subject to paragraph 5.
|
32 |
+
2. You must give any Third Party recipients of the Model or Derivatives of the Model a copy of this License;
|
33 |
+
3. You must cause any modified files to carry prominent notices stating that You changed the files;
|
34 |
+
4. You must retain all copyright, patent, trademark, and attribution notices excluding those notices that do not pertain to any part of the Model, Derivatives of the Model.
|
35 |
+
5. You and any Third Party recipients of the Model or Derivatives of the Model must adhere to the Permitted Purpose.
|
36 |
+
You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions – respecting paragraph 4.1. – for use, reproduction, or Distribution of Your modifications, or for any such Derivatives of the Model as a whole, provided Your use, reproduction, and Distribution of the Model otherwise complies with the conditions stated in this License.
|
37 |
+
5. Use-based restrictions. The restrictions set forth in Attachment A are considered Use-based restrictions. Therefore You cannot use the Model or the Derivatives of the Model in violation of such restrictions. You may use the Model subject to this License, including only for lawful purposes and in accordance with the License. “Use” may include creating any content with, fine-tuning, updating, running, training, evaluating and/or re-parametrizing the Model. You shall require all of Your users who use the Model or a Derivative of the Model to comply with the terms of this paragraph 5.
|
38 |
+
6. The Output You Generate. Except as set forth herein, Licensor claims no rights in the Output You generate using the Model. You are accountable for the input you insert into the Model, the Output you generate and its subsequent uses. No use of the Output can contravene any provision as stated in the License.
|
39 |
+
Section IV: OTHER PROVISIONS
|
40 |
+
7. Updates and Runtime Restrictions. To the maximum extent permitted by law, Licensor reserves the right to restrict (remotely or otherwise) usage of the Model in violation of this License, update the Model through electronic means, or modify the Output of the Model based on updates. You shall undertake reasonable efforts to use the latest version of the Model. Any use of the non-current version of the Model is done solely at your risk.
|
41 |
+
8. Trademarks and related. Nothing in this License permits You to make use of Licensor’s trademarks, trade names, logos or to otherwise suggest endorsement or misrepresent the relationship between the parties; and any rights not expressly granted herein are reserved by the Licensor.
|
42 |
+
9. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Model (and each Contributor provides its Contributions) on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Model and Derivatives of the Model, and assume any risks associated with Your exercise of permissions under this License.
|
43 |
+
10. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Model (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages.
|
44 |
+
11. Accepting Warranty or Additional Liability. While redistributing the Model or Derivatives of the Model, You may choose to charge a fee in exchange for support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against such Contributor, by reason of your accepting any such warranty or additional liability.
|
45 |
+
12. If any provision of this License is held to be invalid, illegal or unenforceable, the remaining provisions shall be unaffected thereby and remain valid as if such provision had not been set forth herein.
|
46 |
+
END OF TERMS AND CONDITIONS
|
47 |
+
________________
|
48 |
+
|
49 |
+
|
50 |
+
Attachment A
|
51 |
+
Use Restrictions
|
52 |
+
You agree not to use the Model or its Derivatives in any of the following ways:
|
53 |
+
1. Outside of the Permitted Purpose;
|
54 |
+
2. In any way that violates any applicable national, federal, state, local or international law or regulation.
|
55 |
+
3. For the purpose of exploiting, Harming or attempting to exploit or Harm minors in any way;
|
56 |
+
4. To generate or disseminate false information and/or content with the purpose of Harming others;
|
57 |
+
5. To generate or disseminate personal identifiable information that can be used to Harm an individual;
|
58 |
+
6. To generate or disseminate information and/or content (e.g. images, code, posts, articles), and place the information and/or content in any context (e.g. bot generating tweets) without expressly and intelligibly disclaiming that the information and/or content is machine generated;
|
59 |
+
7. To defame, disparage or otherwise harass others;
|
60 |
+
8. To impersonate or attempt to impersonate (e.g. deepfakes) others without their consent;
|
61 |
+
9. For fully automated decision making that adversely impacts an individual’s legal rights or otherwise creates or modifies a binding, enforceable obligation;
|
62 |
+
10. For any use intended to or which has the effect of discriminating against or Harming individuals or groups based on online or offline social behavior or known or predicted personal or personality characteristics;
|
63 |
+
11. To exploit any of the vulnerabilities of a specific group of persons based on their age, social, physical or mental characteristics, in order to materially distort the behavior of a person belonging to that group in a manner that causes or is likely to cause that person or another person Harm;
|
64 |
+
12. For any use intended to or which has the effect of discriminating against individuals or groups based on legally protected characteristics or categories;
|
65 |
+
13. To generate or disseminate information for the purpose to be used for administration of justice, law enforcement, immigration or asylum processes, such as predicting an individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use);
|
66 |
+
14. To generate and/or disseminate malware (including – but not limited to – ransomware) or any other content to be used for the purpose of harming electronic systems;
|
67 |
+
15. To engage in, promote, incite, or facilitate discrimination or other unlawful of harmful conduct in the provision of employment, employment benefits, credit, housing, or other essential goods and services;
|
68 |
+
16. To engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals.
|
ltx-video-2b-v0.9.1.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a23200896c5eddf215c7cb9517820c5763a2b054eb62ba86cbce6b871a4577e3
|
3 |
+
size 5716863844
|
ltx-video-2b-v0.9.5.license.txt
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
LTX Video 2B 0.9.5 (�LTXV�)
|
2 |
+
|
ltx-video-2b-v0.9.5.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:720d15c9f19f7d0f6b2a92bbbc34410e2cfb2f6856a100b38f734fbf973d4adf
|
3 |
+
size 6340729500
|
ltx-video-2b-v0.9.license.txt
ADDED
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
1 |
+
LTX Video 0.9 (“LTXV”)
|
2 |
+
By Lightricks Ltd. (“Lightricks”)
|
3 |
+
RAIL-M License
|
4 |
+
dated November 22, 2024
|
5 |
+
Section I: PREAMBLE
|
6 |
+
Multimodal generative models are being widely adopted and used, and have the potential to transform the way artists, among other individuals, conceive and benefit from artificial intelligence (“AI”) or ML technologies as a tool for content creation. Notwithstanding the current and potential benefits that these artifacts can bring to society at large, there are also concerns about potential misuses of them, either due to their technical limitations or ethical considerations.
|
7 |
+
The development and use of AI does not come without concerns. The world has witnessed how AI techniques may, in some instances, become risky for the public in general. These risks come in many forms, from racial discrimination to the misuse of sensitive information.
|
8 |
+
This RAIL-M License is generally applicable to any machine-learning Model (as defined below). The “RAIL” nomenclature indicates that there are use restrictions prohibiting the use of the Model. These restrictions are intended to avoid potential misuse by not permitting the use of the Model in very specific scenarios, in order for the licensor to be able to enforce the license in case a potential misuse of the Model may occur. Even though derivative versions of the Model could be released under different licensing terms, the License (as defined below) specifies that the use restrictions in the original License must apply to such derivative versions. This License governs the use of the Model (and its derivatives) and is informed by the model card associated with the Model.
|
9 |
+
NOW THEREFORE, You and Licensor agree as follows:
|
10 |
+
1. Definitions
|
11 |
+
1. “Complementary Material” means the applicable source code and scripts used to define, run, load, benchmark or evaluate the Model, and used to prepare data for training or evaluation, if any. This includes any accompanying documentation, tutorials, examples, etc, if any. Complementary Material is not licensed under this License.
|
12 |
+
2. “Contribution” means any work of authorship, including the original version of the Model and any modifications or additions to that Model or Derivatives of the Model thereof, that is intentionally submitted to Licensor for inclusion in the Model by the rights owner or by an individual or legal entity authorized to submit on behalf of the rights owner. For the purposes of this definition, “submitted” means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Model, but excluding communication that is conspicuously marked or otherwise designated in writing by the rights owner as “Not a Contribution.”
|
13 |
+
3. “Contributor” means Licensor and any individual or legal entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Model.
|
14 |
+
4. “Data” means a collection of information and/or content extracted from the dataset used with the Model, including to train, pretrain, or otherwise evaluate the Model. The Data is not licensed under this License.
|
15 |
+
5. “Derivatives of the Model” means all modifications to the Model, works based on the Model, or any other model which is created or initialized by transfer of patterns of the weights, parameters, activations or output of the Model, to the other model, in order to cause the other model to perform similarly to the Model, including – but not limited to – distillation methods entailing the use of intermediate data representations or methods based on the generation of synthetic data by the Model for training the other model.
|
16 |
+
6. “Distribution” means any transmission, reproduction, publication or other sharing of the Model or Derivatives of the Model to a third party, including providing the Model as a hosted service made available by electronic or other remote means – e.g. API-based or web access.
|
17 |
+
7. “Harm” includes but is not limited to physical, mental, psychological, financial and reputational damage, pain, or loss.
|
18 |
+
8. “License” means the terms and conditions for use, reproduction, and Distribution as defined in this document.
|
19 |
+
9. “Licensor” means the rights owner or entity authorized by the rights owner that is granting the License, including the persons or entities that may have rights in the Model and/or distributing the Model. For the purposes of this License, the Licensor is Lightricks Ltd.
|
20 |
+
10. “Model” means any accompanying machine-learning based assemblies (including checkpoints), consisting of learnt weights, parameters (including optimizer states), corresponding to the Lightricks’ Model “LTX Video 0.9” model architecture as embodied in the Complementary Material, that have been trained or tuned, in whole or in part on the Data, using the Complementary Material.
|
21 |
+
11. ”Output” means the results of operating a Model as embodied in informational content resulting therefrom.
|
22 |
+
12. “Permitted Purpose” means for academic or research purposes only, and explicitly excludes commercialization such as downstream selling of the Model or Derivatives of the Model.
|
23 |
+
13. “Third Parties” means individuals or legal entities that are not under common control with Licensor or You.
|
24 |
+
14. “You” (or “Your”) means an individual or legal entity exercising permissions granted by this License and/or making use of the Model for whichever purpose and in any field of use, including usage of the Model in an end-use application – e.g. chatbot, translator, image generator.
|
25 |
+
Section II: INTELLECTUAL PROPERTY RIGHTS
|
26 |
+
Both copyright and patent grants apply to the Model and Derivatives of the Model. The Model and Derivatives of the Model are subject to additional terms as described in Section III, which shall govern the use of the Model and Derivatives of the Model even in the event Section II is held unenforceable.
|
27 |
+
2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare, publicly display, publicly perform, sublicense, and distribute the Model and Derivatives of the Model, only for the Permitted Purpose.
|
28 |
+
3. Grant of Patent License. Subject to the terms and conditions of this License and where and as applicable, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this paragraph) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Model and/or Derivatives of the Model, but only for the Permitted Purpose. Such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Model or Derivatives of the Model to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Model or Derivative of the Model and/or a Contribution incorporated within the Model or Derivative of the Model constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for the Model and/or Derivative of the Model shall terminate as of the date such litigation is asserted or filed.
|
29 |
+
Section III: CONDITIONS OF USAGE, DISTRIBUTION AND REDISTRIBUTION
|
30 |
+
4. Distribution and Redistribution. You may host for Third Party remote access purposes (e.g. software-as-a-service), reproduce and distribute copies of the Model or Derivatives of the Model thereof in any medium, with or without modifications, provided that You meet the following conditions:
|
31 |
+
1. Use-based restrictions as referenced in paragraph 5 MUST be included as an enforceable provision by You in any type of legal agreement (e.g. a license) governing the use and/or distribution of the Model or Derivatives of the Model, and You shall give notice to subsequent users You Distribute to, that the Model or Derivatives of the Model are subject to paragraph 5.
|
32 |
+
2. You must give any Third Party recipients of the Model or Derivatives of the Model a copy of this License;
|
33 |
+
3. You must cause any modified files to carry prominent notices stating that You changed the files;
|
34 |
+
4. You must retain all copyright, patent, trademark, and attribution notices excluding those notices that do not pertain to any part of the Model, Derivatives of the Model.
|
35 |
+
5. You and any Third Party recipients of the Model or Derivatives of the Model must adhere to the Permitted Purpose.
|
36 |
+
You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions – respecting paragraph 4.1. – for use, reproduction, or Distribution of Your modifications, or for any such Derivatives of the Model as a whole, provided Your use, reproduction, and Distribution of the Model otherwise complies with the conditions stated in this License.
|
37 |
+
5. Use-based restrictions. The restrictions set forth in Attachment A are considered Use-based restrictions. Therefore You cannot use the Model or the Derivatives of the Model in violation of such restrictions. You may use the Model subject to this License, including only for lawful purposes and in accordance with the License. “Use” may include creating any content with, fine-tuning, updating, running, training, evaluating and/or re-parametrizing the Model. You shall require all of Your users who use the Model or a Derivative of the Model to comply with the terms of this paragraph 5.
|
38 |
+
6. The Output You Generate. Except as set forth herein, Licensor claims no rights in the Output You generate using the Model. You are accountable for the input you insert into the Model, the Output you generate and its subsequent uses. No use of the Output can contravene any provision as stated in the License.
|
39 |
+
Section IV: OTHER PROVISIONS
|
40 |
+
7. Updates and Runtime Restrictions. To the maximum extent permitted by law, Licensor reserves the right to restrict (remotely or otherwise) usage of the Model in violation of this License, update the Model through electronic means, or modify the Output of the Model based on updates. You shall undertake reasonable efforts to use the latest version of the Model. Any use of the non-current version of the Model is done solely at your risk.
|
41 |
+
8. Trademarks and related. Nothing in this License permits You to make use of Licensor’s trademarks, trade names, logos or to otherwise suggest endorsement or misrepresent the relationship between the parties; and any rights not expressly granted herein are reserved by the Licensor.
|
42 |
+
9. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Model (and each Contributor provides its Contributions) on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Model and Derivatives of the Model, and assume any risks associated with Your exercise of permissions under this License.
|
43 |
+
10. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Model (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages.
|
44 |
+
11. Accepting Warranty or Additional Liability. While redistributing the Model or Derivatives of the Model, You may choose to charge a fee in exchange for support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against such Contributor, by reason of your accepting any such warranty or additional liability.
|
45 |
+
12. If any provision of this License is held to be invalid, illegal or unenforceable, the remaining provisions shall be unaffected thereby and remain valid as if such provision had not been set forth herein.
|
46 |
+
END OF TERMS AND CONDITIONS
|
47 |
+
________________
|
48 |
+
|
49 |
+
|
50 |
+
Attachment A
|
51 |
+
Use Restrictions
|
52 |
+
You agree not to use the Model or its Derivatives in any of the following ways:
|
53 |
+
1. Outside of the Permitted Purpose;
|
54 |
+
2. In any way that violates any applicable national, federal, state, local or international law or regulation.
|
55 |
+
3. For the purpose of exploiting, Harming or attempting to exploit or Harm minors in any way;
|
56 |
+
4. To generate or disseminate false information and/or content with the purpose of Harming others;
|
57 |
+
5. To generate or disseminate personal identifiable information that can be used to Harm an individual;
|
58 |
+
6. To generate or disseminate information and/or content (e.g. images, code, posts, articles), and place the information and/or content in any context (e.g. bot generating tweets) without expressly and intelligibly disclaiming that the information and/or content is machine generated;
|
59 |
+
7. To defame, disparage or otherwise harass others;
|
60 |
+
8. To impersonate or attempt to impersonate (e.g. deepfakes) others without their consent;
|
61 |
+
9. For fully automated decision making that adversely impacts an individual’s legal rights or otherwise creates or modifies a binding, enforceable obligation;
|
62 |
+
10. For any use intended to or which has the effect of discriminating against or Harming individuals or groups based on online or offline social behavior or known or predicted personal or personality characteristics;
|
63 |
+
11. To exploit any of the vulnerabilities of a specific group of persons based on their age, social, physical or mental characteristics, in order to materially distort the behavior of a person belonging to that group in a manner that causes or is likely to cause that person or another person Harm;
|
64 |
+
12. For any use intended to or which has the effect of discriminating against individuals or groups based on legally protected characteristics or categories;
|
65 |
+
13. To generate or disseminate information for the purpose to be used for administration of justice, law enforcement, immigration or asylum processes, such as predicting an individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use);
|
66 |
+
14. To generate and/or disseminate malware (including – but not limited to – ransomware) or any other content to be used for the purpose of harming electronic systems;
|
67 |
+
15. To engage in, promote, incite, or facilitate discrimination or other unlawful of harmful conduct in the provision of employment, employment benefits, credit, housing, or other essential goods and services;
|
68 |
+
16. To engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals.
|
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+
}
|
scheduler/scheduler_config.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
3 |
+
"_diffusers_version": "0.32.0.dev0",
|
4 |
+
"base_image_seq_len": 1024,
|
5 |
+
"base_shift": 0.95,
|
6 |
+
"invert_sigmas": false,
|
7 |
+
"max_image_seq_len": 4096,
|
8 |
+
"max_shift": 2.05,
|
9 |
+
"num_train_timesteps": 1000,
|
10 |
+
"shift": 1.0,
|
11 |
+
"shift_terminal": 0.1,
|
12 |
+
"use_beta_sigmas": false,
|
13 |
+
"use_dynamic_shifting": true,
|
14 |
+
"use_exponential_sigmas": false,
|
15 |
+
"use_karras_sigmas": false
|
16 |
+
}
|
text_encoder/config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/t5-v1_1-xxl",
|
3 |
+
"architectures": [
|
4 |
+
"T5EncoderModel"
|
5 |
+
],
|
6 |
+
"classifier_dropout": 0.0,
|
7 |
+
"d_ff": 10240,
|
8 |
+
"d_kv": 64,
|
9 |
+
"d_model": 4096,
|
10 |
+
"decoder_start_token_id": 0,
|
11 |
+
"dense_act_fn": "gelu_new",
|
12 |
+
"dropout_rate": 0.1,
|
13 |
+
"eos_token_id": 1,
|
14 |
+
"feed_forward_proj": "gated-gelu",
|
15 |
+
"initializer_factor": 1.0,
|
16 |
+
"is_encoder_decoder": true,
|
17 |
+
"is_gated_act": true,
|
18 |
+
"layer_norm_epsilon": 1e-06,
|
19 |
+
"model_type": "t5",
|
20 |
+
"num_decoder_layers": 24,
|
21 |
+
"num_heads": 64,
|
22 |
+
"num_layers": 24,
|
23 |
+
"output_past": true,
|
24 |
+
"pad_token_id": 0,
|
25 |
+
"relative_attention_max_distance": 128,
|
26 |
+
"relative_attention_num_buckets": 32,
|
27 |
+
"tie_word_embeddings": false,
|
28 |
+
"torch_dtype": "float32",
|
29 |
+
"transformers_version": "4.46.2",
|
30 |
+
"use_cache": true,
|
31 |
+
"vocab_size": 32128
|
32 |
+
}
|
text_encoder/model-00001-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7a68b2c8c080696a10109612a649bc69330991ecfea65930ccfdfbdb011f2686
|
3 |
+
size 4989319680
|
text_encoder/model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b8ed6556d7507e38af5b428c605fb2a6f2bdb7e80bd481308b865f7a40c551ca
|
3 |
+
size 4999830656
|