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/diffusion_pytorch_model.bin from ccccsc/preview_model: direct link, hf CLI and curl.
- Browser
- Download file 9.45 GB
-
https://huggingface.co/ccccsc/preview_model/resolve/main/checkpoints/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ccccsc/preview_model/checkpoints/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ccccsc/preview_model/resolve/main/checkpoints/diffusion_pytorch_model.bin
9.45 GB
- Xet hash:
- 019d2c3da227bd2442176d23f0a760ccd950795f431dfc4bb102c6c8a92caaf1
- Size of remote file:
- 9.45 GB
- SHA256:
- 120016afec1b0cb14de3ad79f3353f4b1620d08f668ef224fd24b6fd41a8d540
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