| license: openrail++ | |
| library_name: diffusers | |
| tags: | |
| - text-to-image | |
| - diffusers-training | |
| - diffusers | |
| - lora | |
| - template:sd-lora | |
| - stable-diffusion-xl | |
| - stable-diffusion-xl-diffusers | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| instance_prompt: a photo of TOK dog | |
| widget: | |
| - text: Draw a picture of two female boxers fighting each other. | |
| output: | |
| url: images/example_9xsyd09gw.png | |
| datasets: | |
| - ZB-Tech/DreamXL | |
| language: | |
| - en | |
| <!-- This model card has been generated automatically according to the information the training script had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # SDXL LoRA Fine-tuning - ZB-Tech/Text-To-Image | |
| <Gallery /> | |
| ## Model description | |
| These are ZB-Tech/Text-to-Image LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. | |
| LoRA for the text encoder was enabled: False. | |
| Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. | |
| ##### How to use | |
| ```python | |
| import requests | |
| API_URL = "https://api-inference.huggingface.co/models/ZB-Tech/Text-to-Image" | |
| headers = {"Authorization": "Bearer HF_API_KEY"} | |
| def query(payload): | |
| response = requests.post(API_URL, headers=headers, json=payload) | |
| return response.content | |
| image_bytes = query({ | |
| "inputs": "Astronaut riding a horse", | |
| }) | |
| # You can access the image with PIL.Image for example | |
| import io | |
| from PIL import Image | |
| image = Image.open(io.BytesIO(image_bytes)) | |
| ``` | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](suryasuri/Surya/tree/main) them in the Files & versions tab. |