Instructions to use GraydientPlatformAPI/experiment1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/experiment1 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/experiment1", 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 vae/diffusion_pytorch_model.safetensors from GraydientPlatformAPI/experiment1: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/GraydientPlatformAPI/experiment1/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/experiment1/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/experiment1/resolve/main/vae/diffusion_pytorch_model.safetensors
167 MB
- Xet hash:
- 84b7cc3fc4c3509ee0a854d80ec5785f45b3fd1a330bcaad45866570cb3fadd4
- Size of remote file:
- 167 MB
- SHA256:
- 5c95f109dc24661df3efef42ee59f71ca6de56c3623b1ce38e4fc5e85af54bd0
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