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:
- a1c2ca9e91cd097113d1203bee9e73c82d2d148299cb9b9e7e33ef7f428fea9a
- Size of remote file:
- 1.46 GB
- SHA256:
- 558f404822ec2e05a1b826e6eff3ce0d1d698ba720612318b66f11c3aee43710
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