Instructions to use gokaygokay/Flux-Double-Exposure-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gokaygokay/Flux-Double-Exposure-LoRA 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("gokaygokay/Flux-Double-Exposure-LoRA") prompt = "dblxpsr, combining a person's profile silhouette with a dramatic cityscape. The person should be gazing contemplatively to the right, with their facial features subtly visible but not too detailed. Overlay this with an urban landscape featuring towering skyscrapers, preferably at sunset or sunrise to add warm orange and purple hues to the sky. The buildings should appear to emerge from within the silhouette, creating an ethereal blend where architecture and human form become one. The overall mood should be dreamy and introspective, suggesting a connection between the human subject and their urban environment. Add a slight haze or fog effect to soften the transitions between the two images" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Usage
dblxpsr, <<your prompt>> for best results
This LoRA is trained with FAL Fast LoRA Trainer .

- Prompt
- dblxpsr, combining a person's profile silhouette with a dramatic cityscape. The person should be gazing contemplatively to the right, with their facial features subtly visible but not too detailed. Overlay this with an urban landscape featuring towering skyscrapers, preferably at sunset or sunrise to add warm orange and purple hues to the sky. The buildings should appear to emerge from within the silhouette, creating an ethereal blend where architecture and human form become one. The overall mood should be dreamy and introspective, suggesting a connection between the human subject and their urban environment. Add a slight haze or fog effect to soften the transitions between the two images

- Prompt
- dblxpsr, dblxpsr, An astronaut's helmet reflects not space, but an underwater realm where bioluminescent creatures swim through cosmic clouds. Coral reefs form constellations, and schools of fish move like galaxies. The visor's edge blends seamlessly between deep space and ocean depths, questioning which is which

- Prompt
- dblxpsr, double exposure, A woman's face merging with ocean waves, her hair becoming seafoam and her thoughts turning to swirling whirlpools. Deep sea creatures swim through the darker portions of her silhouette

- Prompt
- dblxpsr, An old book's pages transform into a reader's portrait, where words flow like rivers across their features. Stories emerge as tangible things, paper boats sail across their brow, while origami birds take flight from dog-eared pages. Their eyes hold libraries of unread adventures, and their smile curves like a well-loved spine

- Prompt
- dblxpsr, double exposure, A sleeping child's dreams spill into reality, their profile filled with fantastical creatures and floating islands. Miniature dragons weave between cotton candy clouds, while crystalline castles rise from their thoughts. Stardust sparkles throughout the composition, suggesting magic in every corner

- Prompt
- dblxpsr, double exposure, A musician's silhouette dissolves into visible sound waves, their instrument creating ripples of color that transform into exotic birds taking flight. The birds trail musical notes behind them like cosmic dust, and their wings paint aurora-like streams across a deep indigo sky. The entire scene pulses with rhythmic energy

- Prompt
- dblxpsr, double exposure, A mountain range forming the crown of a sleeping face, while northern lights dance across their closed eyes. Snow-capped peaks blend seamlessly with flowing hair

- Prompt
- dblxpsr, double exposure, A phoenix rising from abstract flames, its feathers dissolving into autumn leaves. The transformation creates a fiery spectrum from deep crimson to brilliant gold
Citation and attribution
This model release is maintained by GΓΆkay AydoΔan. If you reference this repository in academic work, please cite it as follows and also cite the upstream models, datasets, or projects it builds upon.
@software{aydogan2024flux_double_exposure_lora,
author = {AydoΔan, GΓΆkay},
title = {{Flux-Double-Exposure-LoRA}},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/gokaygokay/Flux-Double-Exposure-LoRA},
note = {Model repository; cite the base model and upstream datasets as required.}
}
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Model tree for gokaygokay/Flux-Double-Exposure-LoRA
Base model
black-forest-labs/FLUX.1-dev