Instructions to use WhiteAiZ/Pony_diffusion_v6_diffusers_fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WhiteAiZ/Pony_diffusion_v6_diffusers_fp16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WhiteAiZ/Pony_diffusion_v6_diffusers_fp16", 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:
- e5de9c2caa9b918eeb8f2b0263580958d07c2f96f2bdae903eebd696de501c8c
- Size of remote file:
- 1.39 GB
- SHA256:
- 9f35e7dc28eb29c4fe4c8bae83892d1f3b8a261287a2eb197e0ce6f2152ec896
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