Instructions to use Jonjew/FLUXDigitalAbyss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/FLUXDigitalAbyss 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/FLUXDigitalAbyss") prompt = "bo-abyss, A hyperrealistic portrait of a character with glowing red eyes, their face gradually dissolving into digital fragments. The character has long, flowing dark hair that moves as though caught in a digital breeze. Surrounding the face are glitch patternsâcode-like lines and red highlightsâintersecting with the skin, giving the appearance of the character being part human, part digital entity. The lighting is cold and minimal, with the glow from the eyes casting a faint red hue on the glitching parts of the face. The background fades into a dark, fragmented digital space, creating a surreal and eerie mood., <lora:Flux\\boFLUX digital-abyss.safetensors:1.0:1.0>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee