Instructions to use diffusers/stable-diffusion-2-1-unclip-t2i-l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/stable-diffusion-2-1-unclip-t2i-l with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/stable-diffusion-2-1-unclip-t2i-l", 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 prior/diffusion_pytorch_model.bin from diffusers/stable-diffusion-2-1-unclip-t2i-l: direct link, hf CLI and curl.
- Browser
- Download file 4.09 GB
-
https://huggingface.co/diffusers/stable-diffusion-2-1-unclip-t2i-l/resolve/main/prior/diffusion_pytorch_model.bin
- Command line
-
hf download hf://diffusers/stable-diffusion-2-1-unclip-t2i-l/prior/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/diffusers/stable-diffusion-2-1-unclip-t2i-l/resolve/main/prior/diffusion_pytorch_model.bin
4.09 GB
- Xet hash:
- 34efe6bbb81701d82ead1c33cad3c556063bc5fafd05f4344c86fad2804868d2
- Size of remote file:
- 4.09 GB
- SHA256:
- 5c30099b0ad097cb8decec67cfd39b9e91a0d6bfef707f26df4fa36ab2f03799
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