Instructions to use Muapi/mare-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/mare-style 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/mare-style") 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:
- 087f4d8ec1f601b4d6fb8b69428972b033931117fc2865dec700357bc9bc9fcf
- Size of remote file:
- 64.1 MB
- SHA256:
- bff5531def9e539e1a748c34c38994937eb97c6f9f090d586f92eb893cb24866
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