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
- Xet hash:
- f744826b29afdff3f304dc697b162c4776dc245b40ba7f558d6faed787e1ef8a
- Size of remote file:
- 3.44 GB
- SHA256:
- a0b95e20ef03fabc236e094ddf9e03f7af029318bf69b580c7a8df31534f3e99
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