Instructions to use eolecvk/sd-naruto-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eolecvk/sd-naruto-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("eolecvk/sd-naruto-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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__Stable Diffusion fine tuned on Naruto by [Lambda Labs](https://lambdalabs.com/).__
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Put in a text prompt and generate your own Naruto character, no "prompt engineering" required!
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**Please checkout the new version of this model [here](https://huggingface.co/lambdalabs/sd-naruto-diffusers)!**
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__Stable Diffusion fine tuned on Naruto by [Lambda Labs](https://lambdalabs.com/).__
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Put in a text prompt and generate your own Naruto character, no "prompt engineering" required!
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