Instructions to use GraydientPlatformAPI/virtual-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/virtual-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/virtual-diffusion", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.safetensors from GraydientPlatformAPI/virtual-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 5.14 GB
-
https://huggingface.co/GraydientPlatformAPI/virtual-diffusion/resolve/main/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/virtual-diffusion/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/virtual-diffusion/resolve/main/unet/diffusion_pytorch_model.safetensors
5.14 GB
- Xet hash:
- 04a72bfc5db7b8f57b3c22b81efd1ae022320d0ceba1ff4e870025e4438f4e5f
- Size of remote file:
- 5.14 GB
- SHA256:
- 59b47da28c229190dc81c4f37cd00707563725ebb7b48d8f5f96491c02ae0305
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