Instructions to use Runware/Pony_Diffusion_V6_XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/Pony_Diffusion_V6_XL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/Pony_Diffusion_V6_XL", 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:
- c9ff58f3cbfee4603a5ef156a9d9d53e3a08a52b034efd37a0fb2606e0e7177f
- Size of remote file:
- 1.39 GB
- SHA256:
- 55992cabc899ee146321f55154f39897484f01db9d41347b936441323d4e1a98
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