Instructions to use Muapi/ukiyo-e-art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/ukiyo-e-art 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/ukiyo-e-art") 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:
- 2251005e3ca35f5f7eac6eaef5689f9a38de132e74213fe5707d27307da4ba99
- Size of remote file:
- 574 kB
- SHA256:
- 88118e30d0ec4337c7c3757e138120aeae9017dda9497567f6dfacdc16d46f89
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