Instructions to use MomlessTomato/ruby-kurosawa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MomlessTomato/ruby-kurosawa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MomlessTomato/ruby-kurosawa") prompt = "masterpiece, high quality, defined pupil, looking at viewer, rounded pupil, defined iris, (soft iris:1.2)," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7183f8d5a918af03201fe477b8c28d0ac10e5b3c32d116386688e609aaf1f850
- Size of remote file:
- 3.82 GB
- SHA256:
- ef5812a7c5ac8ac35b9a054f7c92a2f209b4a5d5d19951070483e2a67979b1d7
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