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 transformer/diffusion_pytorch_model.safetensors from OzzyGT/idol_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.48 GB
-
https://huggingface.co/OzzyGT/idol_diffusers/resolve/main/transformer/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://OzzyGT/idol_diffusers/transformer/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/OzzyGT/idol_diffusers/resolve/main/transformer/diffusion_pytorch_model.safetensors
1.48 GB
- Xet hash:
- fe252b12a5ca862e6ef36a215e4f56f4e0f109cf694407086b9fcc5c0a27785c
- Size of remote file:
- 1.48 GB
- SHA256:
- faf275979d66c538a30f3afe55762b0870abcdd12452e5b9ef83369bd17d6c5f
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