Instructions to use Muapi/bedinvite-pony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/bedinvite-pony with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/bedinvite-pony") 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:
- 91db19f0160cc8f2a750152b04b3bc168a2f408835d2523b07c06b4c17150c57
- Size of remote file:
- 4.01 MB
- SHA256:
- e9ae804920268cb6bfecde60f31b6c68f659dcc6625b6880b4f0478510cc3a66
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