This extension for AUTOMATIC1111 provides a streamlined workflow for creating AI-generated videos using img2img and EbSynth. It targets users looking to automate complex video editing tasks, offering advanced features like dynamic prompt generation, auto-tagging, and seamless integration with ControlNet for enhanced creative control.

How It Works

The utility orchestrates a multi-stage process, starting with video frame extraction and mask generation (e.g., using Clipseg). It then leverages img2img within AUTOMATIC1111, allowing for flexible prompt engineering, auto-tagging via DeepDanbooru for nuanced frame-by-frame adjustments, and dynamic application of LoRAs or TIs based on detected tags. ControlNet integration is heavily emphasized, enabling sophisticated conditioning for improved output quality and consistency. Finally, it processes frames through EbSynth and upscaling, culminating in a final video output.

Quick Start & Requirements

• Install: Use AUTOMATIC1111's "Install from URL" feature in the Extensions tab.
• Prerequisites: ffmpeg (installable via OS package managers or provided links), ControlNet extension for AUTOMATIC1111 (recommended).
• Setup: Requires creating a project directory and specifying an input video path.
• Docs: img2img_for_all_method

Highlighted Details

• Supports dynamic application of TIs, hypernets, and LoRAs based on auto-detected tags.
• Enables blending of custom backgrounds or foregrounds into existing videos.
• Offers auto-tagging with DeepDanbooru to refine facial expressions and hand poses.
• Integrates with ControlNet, including multi-ControlNet setups, for advanced conditioning.

Maintenance & Community

The project is maintained by s9roll7. Further community or roadmap information is not explicitly detailed in the README.

Licensing & Compatibility

The repository does not explicitly state a license. Compatibility with commercial or closed-source projects is not specified.

Limitations & Caveats

The extension is presented as a complex, multi-stage process requiring significant user configuration and trial-and-error, particularly for prompt and denoising strength settings. Some features, like ControlNet integration, are noted as essential for optimal results. The README mentions a potential workaround for a current AUTOMATIC1111 bug requiring dropping an image onto the main img2img screen.