Instructions to use diffusers/stable-diffusion-2-1-unclip-t2i-h 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-h 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-h", 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_text_encoder/pytorch_model.bin from diffusers/stable-diffusion-2-1-unclip-t2i-h: direct link, hf CLI and curl.
- Browser
- Download file 495 MB
-
https://huggingface.co/diffusers/stable-diffusion-2-1-unclip-t2i-h/resolve/main/prior_text_encoder/pytorch_model.bin
- Command line
-
hf download hf://diffusers/stable-diffusion-2-1-unclip-t2i-h/prior_text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/diffusers/stable-diffusion-2-1-unclip-t2i-h/resolve/main/prior_text_encoder/pytorch_model.bin
495 MB
- Xet hash:
- c5538aa4cd78e2759ff11d3046696066c3838ca834baa8835cb6c62956adb207
- Size of remote file:
- 495 MB
- SHA256:
- aec40a3f65f96219cb30a80554a39fcb365146b6aa7d0cb9621e08b010ba672d
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