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 text_encoder/model.safetensors from lambda/sd-naruto-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/lambda/sd-naruto-diffusers/resolve/refs%2Fpr%2F6/text_encoder/model.safetensors
- Command line
-
hf download hf://lambda/sd-naruto-diffusers@refs/pr/6/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/lambda/sd-naruto-diffusers/resolve/refs%2Fpr%2F6/text_encoder/model.safetensors
492 MB
- Xet hash:
- 4e7380d25abc80168fe0db5f0d6e0edab1872d32797745e24a57c1278d956b73
- Size of remote file:
- 492 MB
- SHA256:
- d008943c017f0092921106440254dbbe00b6a285f7883ec8ba160c3faad88334
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.