Instructions to use Jonjew/FluxCyberGothGirl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/FluxCyberGothGirl 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("Jonjew/FluxCyberGothGirl") prompt = "CyberGothGirl, 3 hyper ultra extreme beautiful detailed face features, 22 yo women wearing a goth fishnet and harnesses strap outfit, with their feet above the water in the middle of a pool looking at the viewer, blue ultra bright eye color, heart shaped red lips, dark eye makeup, short black straight hair, glossy wet ultra hyper albino skin, huge rounded breasts, awesome abs, wide hips, well-tuned strong legs, long black nail, ancient Greek scene, Greek chamber architecture, spacious marble greek chamber, 8 pillars around a creamy green pool in the center, high ceiling, a hole on the ceiling above the pool center, sunlight rays coming down from the hole, green vegetation hanging from around the hole, dark chamber background, green lime all over the back walls shaded by the ceiling hole light, marble classic greek benchs around the pool, golden ancient greek writings on the walls, absurdres, high res, ultrasharp, Extremely Detailed 8K Wallpaper, Masterpiece: 1.4), (Best quality: 1.4), Natural(Big:1.25), {Best Quality}, ultra-detailed,realistic,photorealistic:1.37, Original,cinematic lighting, wide shot with Sony Fx6" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Not-For-All-Audiences
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