Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
lora
controlnet
control-lora
Instructions to use wtcherr/sd-2m_random_5k_blur_61KS-model-control-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wtcherr/sd-2m_random_5k_blur_61KS-model-control-lora with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("wtcherr/sd-2m_random_5k_blur_61KS-model-control-lora") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ControlLoRA text2image fine-tuning - https://huggingface.co/wtcherr/sd-2m_random_5k_blur_61KS-model-control-lora
These are ControlLoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the wtcherr/diffusiondb_2m_random_5k_blur_61KS dataset. You can find some example images in the following.
- Downloads last month
- 5
Model tree for wtcherr/sd-2m_random_5k_blur_61KS-model-control-lora
Base model
runwayml/stable-diffusion-v1-5

