Text-to-Image
Diffusers
flux
flux-diffusers
lora
control
controlnet
brightness
grayscale
template:sd-lora
Instructions to use Oysiyl/flux-control-lora-brightness-10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Oysiyl/flux-control-lora-brightness-10k with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Oysiyl/flux-control-lora-brightness-10k") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add final Flux Control LoRA model - 10k samples (685M)
Browse files
pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:00b2ed4de6a4aa0b4fe025060904142fb0c6a6a1e2437fcb78a9d1fa7efec62e
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size 718139408
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