Instructions to use bhsu/sd-naruto-model-lora-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bhsu/sd-naruto-model-lora-2 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bhsu/sd-naruto-model-lora-2") 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:
- 93f83a1b73a346f6d5318f644198e55457cd965864b3a0025068b2ec82e52b49
- Size of remote file:
- 3.29 MB
- SHA256:
- 50b7ad80853780ea89ce958f458459a793f65cf00a58fd995d4eed7b32f88f2c
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