Instructions to use Muapi/civchan-uwu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/civchan-uwu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/civchan-uwu") 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:
- d5c3784a387291c62e6bb59707bd267a7413857eb3daf4e3fa4fd42ab23067d3
- Size of remote file:
- 1.26 MB
- SHA256:
- 2f0add67ecf18ee555f087854a6d6895ed6f27956452d2e7f530c67d33210a5b
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