Instructions to use twfx4062/OOTDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use twfx4062/OOTDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("twfx4062/OOTDiffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download checkpoints/ootd/vae/diffusion_pytorch_model.bin from twfx4062/OOTDiffusion: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/twfx4062/OOTDiffusion/resolve/main/checkpoints/ootd/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://twfx4062/OOTDiffusion/checkpoints/ootd/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/twfx4062/OOTDiffusion/resolve/main/checkpoints/ootd/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 160c74c66bbac88a51f8b42f39a360f012e52461d72e308db0f368941f4438bd
- Size of remote file:
- 335 MB
- SHA256:
- 9814753f897cd32db41ec0bf0c574f6f44b39340103df9f4778b18565946d8b1
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