Instructions to use bhsu/sd-naruto-model-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bhsu/sd-naruto-model-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bhsu/sd-naruto-model-lora") 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:
- 70521b02dd81b2340979f44ec1e80c21703e521ab444712e0939e4473297d55c
- Size of remote file:
- 3.29 MB
- SHA256:
- 1134bff45b29cdf35c9ef77480f1a5f88893698705c50a35108e62f6c36e63e4
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