Instructions to use glif-loradex-trainer/kklors_flux_dev_grunge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/kklors_flux_dev_grunge 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("glif-loradex-trainer/kklors_flux_dev_grunge") prompt = "an old house in summer surrounded by red roses and other colorful flowers GRUNGE" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
flux_dev_grunge
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user kklors.

- Prompt
- an old house in summer surrounded by red roses and other colorful flowers GRUNGE

- Prompt
- a big desk at night with a typewriter lit by a desk lamp, window with a small port city in the background GRUNGE

- Prompt
- an antique silver coin GRUNGE

- Prompt
- image of a dog, 1960, tarkovskyGRUNGE

- Prompt
- portrait of an old man GRUNGE

- Prompt
- an old car in a garage filled with car parts, warm sunlight shining through a small window GRUNGE
Trigger words
You should use GRUNGE to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Model tree for glif-loradex-trainer/kklors_flux_dev_grunge
Base model
black-forest-labs/FLUX.1-dev