Instructions to use lambda/sd-naruto-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lambda/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("lambda/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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@@ -101,4 +101,4 @@ Trained on [BLIP captioned Naruto images](https://huggingface.co/datasets/lambda
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- [Original model weights](https://huggingface.co/justinpinkney/pokemon-stable-diffusion)
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- [Naruto diffusers repo](https://github.com/eolecvk/naruto-sd)
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Trained by Eole Cervenka after the work of [Justin Pinkney](justinpinkney.com) ([@Buntworthy](https://twitter.com/Buntworthy)) at [Lambda Labs](https://lambdalabs.com/).
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- [Original model weights](https://huggingface.co/justinpinkney/pokemon-stable-diffusion)
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- [Naruto diffusers repo](https://github.com/eolecvk/naruto-sd)
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Trained by [Eole Cervenka](https://www.linkedin.com/in/eole-cervenka/) after the work of [Justin Pinkney](https://justinpinkney.com) ([@Buntworthy](https://twitter.com/Buntworthy)) at [Lambda Labs](https://lambdalabs.com/).
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