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 Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.safetensors from lambda/sd-naruto-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/lambda/sd-naruto-diffusers/resolve/refs%2Fpr%2F6/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://lambda/sd-naruto-diffusers@refs/pr/6/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/lambda/sd-naruto-diffusers/resolve/refs%2Fpr%2F6/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- aef2135d5cc19f3ded60b9f960793e3e70636f323efca4dbec6b55f9f3e2afdc
- Size of remote file:
- 335 MB
- SHA256:
- a2b5134f4dbc140d9c11f11cba3233099e00af40f262f136c691fb7d38d2194c
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