Instructions to use FlyingFishzzz/model_left_lmk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FlyingFishzzz/model_left_lmk with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("FlyingFishzzz/model_left_lmk") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("FlyingFishzzz/model_left_lmk")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"stabilityai/stable-diffusion-2-1-base", controlnet=controlnet
)controlnet-FlyingFishzzz/model_left_lmk
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
You can find some example images below.
prompt: A young man in the forest wearing sportswear is looking into the distance to the side
prompt: A girl wearing a dress in the auditorium, looking to the side
prompt: An older lady wearing a cotton coat sits in the garden and looks to the side

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Model tree for FlyingFishzzz/model_left_lmk
Base model
stabilityai/stable-diffusion-2-1-base