Instructions to use Muapi/hands_of_midas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/hands_of_midas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/hands_of_midas") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 694385c3e1595c2ceea2efa82dbb9ad8b579215db052d0a8080b11e33da6661e
- Size of remote file:
- 520 kB
- SHA256:
- 6c6ce95c81b4c581abca06b1b405cc2af18acc3e7c225dc64c3db4da905fe954
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