Instructions to use AiAF/Diffusers_Pony-Diffusion-V6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/Diffusers_Pony-Diffusion-V6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiAF/Diffusers_Pony-Diffusion-V6", 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:
- 94935df9792988105ecd20f93c861aa0cd6c240966b865fcb35966bc4bc62eb0
- Size of remote file:
- 246 MB
- SHA256:
- bb378bd4db5ae9d980ed1563fdd8fcf753b0bb30167a92fd1433e1664869108e
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