Instructions to use CitronLegacy/ponyDiffusionV6XL_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CitronLegacy/ponyDiffusionV6XL_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CitronLegacy/ponyDiffusionV6XL_Diffusers", 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
- Draw Things
- DiffusionBee
- Xet hash:
- f503afd0ac1344aae9ce44320c5c65582c3e75f0b5736263d885de38ef4059fd
- Size of remote file:
- 246 MB
- SHA256:
- 118b85361f4673b85f03d20649ea27290f02090eaa8010369399ade9f59dfa36
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