Instructions to use Muapi/ass-support-on-object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/ass-support-on-object 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/ass-support-on-object") 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:
- b373909fc9b5f8c3cf83a86ac0ee80e9cf917597722efddba958aabbff374479
- Size of remote file:
- 1.12 MB
- SHA256:
- c7c7b1c0b73cf6cc36a39875cef265c4d0cf2da676a5b48947feec1e73cf982c
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