Instructions to use OzzyGT/idol_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/idol_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/idol_diffusers", 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 gaussian_decoder/diffusion_pytorch_model.safetensors from OzzyGT/idol_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 949 MB
-
https://huggingface.co/OzzyGT/idol_diffusers/resolve/main/gaussian_decoder/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://OzzyGT/idol_diffusers/gaussian_decoder/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/OzzyGT/idol_diffusers/resolve/main/gaussian_decoder/diffusion_pytorch_model.safetensors
949 MB
- Xet hash:
- ced9198c9b06523c9564950621ff0d49ffe9e19061fc226e5e14181f2630034a
- Size of remote file:
- 949 MB
- SHA256:
- f12fce129eacf8d9c2838f4bb7beaaa2ca687c26c7477108597b4a5281374c26
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