Instructions to use Seanwang1221/SongJia_FLUX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Seanwang1221/SongJia_FLUX 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("Seanwang1221/SongJia_FLUX") prompt = "SJ, white dress,looking at viewer, floral print, depth of field, night cityscape, (1girl:1), long hair, ulzzang-6500v1.1, (original: 1.2), (realistic: 1.3) , beautiful girl with beautiful details, extremely detailed eyes and face, eyes with beautiful details, absurd, incredibly absurd, huge file size, ultra detail, high resolution, ultra detailed, best quality, masterpiece, illustration, ultra detailed and beautiful, ultra detailed, CG, unity, 8k wallpaper, amazing, fine Detail, masterpiece, top quality, official art, extremely detailed CG unity 8k wallpaper, cinematic lighting, (perfect shiny skin:0.6), slim and smooth lines, (floating), (small breasts:1), earrings , " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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