Instructions to use Muapi/wakitan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/wakitan 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/wakitan") 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:
- d87e796d8d9c09d2c18fb413d38b8a5e464ec595cb09b82189e9b23921310377
- Size of remote file:
- 1.08 MB
- SHA256:
- 46304b9369efa1701eed60157b884e0a363fa0af4b5df24cf288b5f96879a12d
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