Instructions to use Jonjew/EnvyFluxFae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/EnvyFluxFae 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/EnvyFluxFae") prompt = "__ea/genre__: studio quality cinematic photograph of a __abstract_adjective__ {fermale|male} fae automaton, facing the camera, with {elaborate|intricate|iridescent|delicate|lacy|translucent|shimmering} {feathers|petals|scales|ridges|crystalline growths} colored __color_fancy__ and __color__ Location: __any_location__<lora:fae_automaton2_flux-done:1.1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K