Instructions to use Muapi/basement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/basement 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/basement") 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:
- e317daa473e187d2deb707c8e5474fc59e51175f5a3ae8c643a2c9a8fc132da8
- Size of remote file:
- 57.4 MB
- SHA256:
- bbbad6a1dbff81083118c2bfea1986216fbe3bcef6b316db28cd411b2bbd08da
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