Instructions to use GraydientPlatformAPI/raincloud-ponydiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/raincloud-ponydiffusion 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/raincloud-ponydiffusion", 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/raincloud-ponydiffusion: direct link, hf CLI and curl.
- Browser
- Download file 5.14 GB
-
https://huggingface.co/GraydientPlatformAPI/raincloud-ponydiffusion/resolve/main/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/raincloud-ponydiffusion/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/raincloud-ponydiffusion/resolve/main/unet/diffusion_pytorch_model.safetensors
5.14 GB
- Xet hash:
- cb5207507923033625722c7c5ae557e0f1e874da562edb5c9367a1b81d3a2a52
- Size of remote file:
- 5.14 GB
- SHA256:
- 30deab3ec3fdf53d9db56b3f8c3208791dfc9e434e5ca82091683a4e8f2c1d85
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