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
Download images/ruby_final.png from MomlessTomato/ruby-kurosawa: direct link, hf CLI and curl.
- Browser
- Download file 2.24 MB
-
https://huggingface.co/MomlessTomato/ruby-kurosawa/resolve/main/images/ruby_final.png
- Command line
-
hf download hf://MomlessTomato/ruby-kurosawa/images/ruby_final.png
-
curl -L -o ruby_final.png https://huggingface.co/MomlessTomato/ruby-kurosawa/resolve/main/images/ruby_final.png
2.24 MB

- Xet hash:
- ed46563a26ca7c3188ea55daa6f6c3137dadde6c706a56d391250a3fc782e6e3
- Size of remote file:
- 2.24 MB
- SHA256:
- 85fd1fe18f6e05b2b19008e92d01a6ba671e18729627595529d1024459fafa76
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