Instructions to use ccccsc/preview_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ccccsc/preview_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ccccsc/preview_model", 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/action_model/diffusion_pytorch_model.bin from ccccsc/preview_model: direct link, hf CLI and curl.
- Browser
- Download file 1.13 GB
-
https://huggingface.co/ccccsc/preview_model/resolve/main/checkpoints/action_model/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ccccsc/preview_model/checkpoints/action_model/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ccccsc/preview_model/resolve/main/checkpoints/action_model/diffusion_pytorch_model.bin
1.13 GB
- Xet hash:
- 257e1d02f18a8709885dbb772afdee830106abb6d5c3bb5a3e2d312d1c53767a
- Size of remote file:
- 1.13 GB
- SHA256:
- c18390b9f2344d5aae832b614361373715841290c74a94bd52018407599f9d5d
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