Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use DsnTgr/naruto-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DsnTgr/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("DsnTgr/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-2500/optimizer.bin from DsnTgr/naruto-lora: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/DsnTgr/naruto-lora/resolve/main/checkpoint-2500/optimizer.bin
- Command line
-
hf download hf://DsnTgr/naruto-lora/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/DsnTgr/naruto-lora/resolve/main/checkpoint-2500/optimizer.bin
6.59 MB
- Xet hash:
- 66f2d85022a02b689282ca92e15c92709ea0178d935ce32914d11ce0de106c88
- Size of remote file:
- 6.59 MB
- SHA256:
- 777664b5eb5d69153e5584433317e4a3ea492f8b87a206e64748ddb70398feab
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