Instructions to use gokaygokay/Flux-Miniature-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gokaygokay/Flux-Miniature-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-Miniature-LoRA") prompt = "MNTR, miniature drawing, old fashion car on the street drinking coffee" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Usage
MNTR, miniature drawing, <<your prompt>> for best results
This LoRA is trained with FAL Fast LoRA Trainer .

- Prompt
- MNTR, miniature drawing, old fashion car on the street drinking coffee

- Prompt
- MNTR, miniature drawing, lake and small boat drinking coffee

- Prompt
- MNTR, miniature drawing, two roman warriors fighting, colosseum

- Prompt
- MNTR, miniature drawing, house, sunny day, clear sky

- Prompt
- MNTR, miniature drawing, skyscrappers, bridges, crowded modern city

- Prompt
- MNTR, miniature drawing, portrait of an old man with beard and mustache at a bar drinking coffee

- Prompt
- MNTR, miniature drawing, dog running on garden

- Prompt
- MNTR, miniature drawing, plane flying over city

- Prompt
- MNTR, miniature drawing, lady in shadow, calm looking
- Downloads last month
- 18
Model tree for gokaygokay/Flux-Miniature-LoRA
Base model
black-forest-labs/FLUX.1-dev