Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use ffkatya/naruto-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ffkatya/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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ffkatya/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-6000/optimizer.bin from ffkatya/naruto-lora: direct link, hf CLI and curl.
- Browser
- Download file 3.4 MB
-
https://huggingface.co/ffkatya/naruto-lora/resolve/main/checkpoint-6000/optimizer.bin
- Command line
-
hf download hf://ffkatya/naruto-lora/checkpoint-6000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ffkatya/naruto-lora/resolve/main/checkpoint-6000/optimizer.bin
3.4 MB
- Xet hash:
- e57ca2577e5c4108bf5053053235e4da975dc65b3b7ccabbfe463fad264d41af
- Size of remote file:
- 3.4 MB
- SHA256:
- f113befa93282f31e6024cf3a6b22152088882c8421fb6738a74b9c96409d67d
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