Instructions to use Dakkusj/Flux-Dark.dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Dakkusj/Flux-Dark.dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XLabs-AI/flux-RealismLora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Dakkusj/Flux-Dark.dev") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Dark-Flux

- Prompt
- -
Model description
This is a Text-To-Image model [copy of flux]
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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