Instructions to use Muapi/mechanism-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/mechanism-concept 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/mechanism-concept") 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:
- 8ed9a5c4b9bda839aaccf5df193f4f1752eb575b6894f4fe242eb18ef2cfbf18
- Size of remote file:
- 1.73 MB
- SHA256:
- 1f941be2a79151e1273b001ec7a09c34172b7b759ce7bb033ed9e12c72a84d0e
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