Instructions to use AiAF/PixelNinjaArt_LoRA_Flux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/PixelNinjaArt_LoRA_Flux1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AiAF/PixelNinjaArt_LoRA_Flux1") prompt = "PixelNinjaArt \\(Artist\\), @PixelNinjaArt, illustration of a woman with blonde hair, wearing a white off-the-shoulder bodysuit, She has a neutral expression and is looking directly at the camera. The background is a plain, light grey wall. The image has a high-quality, professional feel.\"" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download _latent_cache.zip from AiAF/PixelNinjaArt_LoRA_Flux1: direct link, hf CLI and curl.
- Browser
- Download file 75.4 MB
-
https://huggingface.co/AiAF/PixelNinjaArt_LoRA_Flux1/resolve/main/_latent_cache.zip
- Command line
-
hf download hf://AiAF/PixelNinjaArt_LoRA_Flux1/_latent_cache.zip
-
curl -L -o _latent_cache.zip https://huggingface.co/AiAF/PixelNinjaArt_LoRA_Flux1/resolve/main/_latent_cache.zip
75.4 MB
- Xet hash:
- a43b451dee461b0a8979bc76a6b738b34c9dc7b4892e615dfa173995ef70b9ee
- Size of remote file:
- 75.4 MB
- SHA256:
- f254caae69a1cfb800e077aa5c78df253be0d48d4e9b267ca768866ff8a55ea9
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