Instructions to use Muapi/shelf-bra-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/shelf-bra-lora 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/shelf-bra-lora") 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:
- 1399737a2bc380ed3c8f3f604e58de3940b9b23a5a4cc94a5e1c97ac8cc44f3b
- Size of remote file:
- 1.49 MB
- SHA256:
- 9812caf5c9147acd4937a10f335ea9b19d8a9c352ca7b460bb559084f1f93cf0
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