Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Jade1211/textual_inversion_firework2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jade1211/textual_inversion_firework2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("Jade1211/textual_inversion_firework2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-steps-1000.bin from Jade1211/textual_inversion_firework2: direct link, hf CLI and curl.
- Browser
- Download file 4 kB
-
https://huggingface.co/Jade1211/textual_inversion_firework2/resolve/main/learned_embeds-steps-1000.bin
- Command line
-
hf download hf://Jade1211/textual_inversion_firework2/learned_embeds-steps-1000.bin
-
curl -L -o learned_embeds-steps-1000.bin https://huggingface.co/Jade1211/textual_inversion_firework2/resolve/main/learned_embeds-steps-1000.bin
4 kB
- Xet hash:
- 169490b8808668a0e963da54bdea2c7956fc232d9386179d0500d1af7e1265e6
- Size of remote file:
- 4 kB
- SHA256:
- 7f93383b202866b3ca46cb3c3beb86893e3c3525fa777ffa084d17b7119e3997
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