Instructions to use Muapi/tattoos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/tattoos 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/tattoos") 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:
- 35b9fa41146f93fa1c1b3794012c9f3b9a627a73b88f674e62fc0395e2954882
- Size of remote file:
- 1.29 MB
- SHA256:
- dfc53f86012b706e711562076ccda693b67f4140e81a6b65c2748f89c08162a0
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