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-500/optimizer.bin from ffkatya/naruto-lora: direct link, hf CLI and curl.
- Browser
- Download file 1.01 MB
-
https://huggingface.co/ffkatya/naruto-lora/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://ffkatya/naruto-lora/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ffkatya/naruto-lora/resolve/main/checkpoint-500/optimizer.bin
1.01 MB
- Xet hash:
- 28822fc67e9ebc07aa9caf1f703a9d32a696d89d46d12e3e3ad68aec551bbdb5
- Size of remote file:
- 1.01 MB
- SHA256:
- 0e19bd8140900ed01f87307dd6035de4cb96a10074cce92fb42842d7d89a072f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.