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
- Xet hash:
- 19c66a9e3836faaca04239a55664ee679579852020dd2c8714c55a9aaabb3b32
- Size of remote file:
- 1.39 GB
- SHA256:
- be0fb339f78db911af151b6a6a63e091a58f65e27601aebbc4636dfa919d5a41
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