Stable Diffusion ControlNet Pipeline
Automates image generation workflows using Stability AI ControlNet API with depth maps, edge detection, and pose estimation. Integrates with Hugging Face diffusers library for model management and CLIP interrogator for prompt refinement.
What it does
Stable Diffusion ControlNet Pipeline
Automates image generation workflows using Stability AI ControlNet API with depth maps, edge detection, and pose estimation. Integrates with Hugging Face diffusers library for model management and CLIP interrogator for prompt refinement.
Installation
Use the upstream install or setup path that matches your environment:
- conda env create -f environment.yaml
- conda activate control
Requirements and caveats from upstream:
- python gradio_canny2image.py
- python gradio_hough2image.py
- python gradio_hed2image.py
Basic usage or getting-started notes:
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Note that the UI is based on Gradio, and Gradio is somewhat difficult to customize. Right now you need to draw scribbles outside the UI (using your favorite drawing software, for example, MS Paint) and then import the...
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Note that the below example is 768×768. No prompts. No "positive" prompts. No "negative" prompts.
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Below is another challenging example:
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Extracted from upstream docs: https://raw.githubusercontent.com/lllyasviel/ControlNet/HEAD/README.md
Source
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (1,232 chars)