Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use karol-skorulski/controlnet_sd_tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use karol-skorulski/controlnet_sd_tutorial with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("karol-skorulski/controlnet_sd_tutorial") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from karol-skorulski/controlnet_sd_tutorial: direct link, hf CLI and curl.
- Browser
- Download file 525 Bytes
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https://huggingface.co/karol-skorulski/controlnet_sd_tutorial/resolve/main/README.md
- Command line
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hf download hf://karol-skorulski/controlnet_sd_tutorial/README.md
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curl -L -o README.md https://huggingface.co/karol-skorulski/controlnet_sd_tutorial/resolve/main/README.md
525 Bytes
| license: creativeml-openrail-m | |
| base_model: runwayml/stable-diffusion-v1-5 | |
| tags: | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - text-to-image | |
| - diffusers | |
| - controlnet | |
| inference: true | |
| # controlnet-karol-skorulski/model | |
| These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. | |
| You can find some example images below. | |
| prompt: red circle with blue background | |
|  | |
| prompt: cyan circle with brown floral background | |
|  | |