Instructions to use yuyang-cloud/inter_ckpts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yuyang-cloud/inter_ckpts with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yuyang-cloud/inter_ckpts", 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 vae/best_model/diffusion_pytorch_model.bin from yuyang-cloud/inter_ckpts: direct link, hf CLI and curl.
- Browser
- Download file 2 MB
-
https://huggingface.co/yuyang-cloud/inter_ckpts/resolve/main/vae/best_model/diffusion_pytorch_model.bin
- Command line
-
hf download hf://yuyang-cloud/inter_ckpts/vae/best_model/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/yuyang-cloud/inter_ckpts/resolve/main/vae/best_model/diffusion_pytorch_model.bin
2 MB
- Xet hash:
- b9d71df10d46d05f30ec68e20e38693d74f3e9a6008928df22df0644b718af11
- Size of remote file:
- 2 MB
- SHA256:
- 68f7755e5e5b6164df2667509cd562a408fdafa9900670a359a29cb406b8e916
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