Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use MeghanaNanuvala/naruto-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MeghanaNanuvala/naruto-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MeghanaNanuvala/naruto-lora") 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 checkpoint-500/optimizer.bin from MeghanaNanuvala/naruto-lora: direct link, hf CLI and curl.
- Browser
- Download file 3.4 MB
-
https://huggingface.co/MeghanaNanuvala/naruto-lora/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://MeghanaNanuvala/naruto-lora/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/MeghanaNanuvala/naruto-lora/resolve/main/checkpoint-500/optimizer.bin
3.4 MB
- Xet hash:
- b7d01c96dc5c6826ee3b696c01bd2e1357f8db3c07bfd0deaceded3f36de60b3
- Size of remote file:
- 3.4 MB
- SHA256:
- b8feead62110a43a3c2a69d83b41333af462529918ad4b47dd956a2af67c1bf0
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