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 text_encoder/model.safetensors from GraydientPlatformAPI/raincloud-ponydiffusion: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/GraydientPlatformAPI/raincloud-ponydiffusion/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/raincloud-ponydiffusion/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/raincloud-ponydiffusion/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- f5738d67d6853bdee8fd7fe89360300b3799e6d0391230eb1995491edcfe539b
- Size of remote file:
- 246 MB
- SHA256:
- 326a7e4a5e52d56ae114bfb467a9515502b6240427f717fc478ff593c5b17c6e
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