Instructions to use glif-loradex-trainer/kklors_flux_dev_DC_2 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_DC_2 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_DC_2") prompt = "a serene lake in autumn surrounded by trees DC" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
flux_dev_DC_2
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user kklors.

- Prompt
- a serene lake in autumn surrounded by trees DC

- Prompt
- golden hour, sheep on a meadow, rural DC

- Prompt
- a modern cozy living room with wooden walls and a big panorama windowDC

- Prompt
- golden hour, a lonely tree in a field DC

- Prompt
- hills and mountains, nature in winterDC

- Prompt
- a small village close to a lake, mountains DC
Trigger words
You should use DC 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_DC_2
Base model
black-forest-labs/FLUX.1-dev