Instructions to use Muapi/french-braid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/french-braid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/french-braid") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 6cbbb29d9d4e7d0a08e1d000ae60465c465f6f4ffe1db2799d615653c618ba06
- Size of remote file:
- 483 kB
- SHA256:
- dbccab8c9639a92d176f4ac8fbecd7dffdb3b20e61613c4c07ae4251599324da
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