Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use SS-max/controlnet_too_simple_SAM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SS-max/controlnet_too_simple_SAM with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("SS-max/controlnet_too_simple_SAM") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 17f76f19133ed2983b2986abe419ae53199be9cd6b921433573b0a3df932b242
- Size of remote file:
- 1.02 MB
- SHA256:
- 11d41e836b5643f4fba9b7fd36e886beaa7ae84a14a117130f9011c706aa5c0f
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