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", 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:
- 26cfe91327608c0a0b67706155b8ad0af017eff9b888aaab550a78ca4ea96f8b
- Size of remote file:
- 830 kB
- SHA256:
- 980cde42ee7bf2255722e96e9f2a84f345bec964ce7a2a9a456b1000b19d4a08
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