Geeky Ghost Vid2Vid Organized v1

This workflow is designed for advanced video processing, incorporating various techniques such as style transfer, motion analysis, depth estimation, and frame interpolation to create a final video that combines elements from different sources with enhanced visual quality.

Group Bypass toggle lets you turn off what you don’t need.

Controlnets set up in Workflow: Depth, Openpose, QR Codemonster

1. VHS_LoadVideo: Loads the video file into the workflow, extracting frames and audio for processing.

2. ImageScale: Scales images to the desired resolution, preparing them for processing in subsequent nodes.

3. ControlNetLoader: Loads the ControlNet models which are used to extract pose and motion information from the video frames.

4. DepthAnythingPreprocessor & DWPreprocessor: These nodes preprocess the images for depth estimation and pose detection, respectively, enhancing the quality of motion and depth data for the animation process.

5. Control Net Stacker: Combines multiple control nets to create a comprehensive motion and pose data set for the video.

6. LoadImage: Loads static images into the workflow, which can be used for texture mapping, background replacement, or as reference images in style transfer processes.

7. PrepImageForClipVision: Prepares images for processing with CLIP, adjusting them to the right format and resolution.

8. CLIPVisionLoader: Loads the CLIP model which is used for semantic image understanding and can guide style transfer processes.

9. IPAdapterModelLoader: Loads the IP Adapter model, used for style transfer, allowing the adaptation of images to match a certain aesthetic or thematic style.

10. IPAdapterApplyEncoded: Applies the IP Adapter model to encode the visual style from one image onto the processed video frames, facilitating style transfer.

11. IPAdapterEncoder: Encodes images using the IP Adapter model, preparing them for the style transfer process.

12. ADE_LoadAnimateDiffModel & ADE_ApplyAnimateDiffModel: These nodes load and apply the AnimateDiff model, which is used for creating smooth transitions and animations between video frames.

13. ADE_AnimateDiffLoRALoader: Loads LoRA models that can be used with AnimateDiff to enhance motion detail and fluidity in the animations.

14. ADE_UseEvolvedSampling: Utilizes evolved sampling techniques to improve the quality of generated animations and transitions.

15. BatchPromptSchedule: Manages the scheduling of text prompts for guiding the generation and transformation process, enhancing the contextual relevance of the generated content.

16. ReActorFaceSwap & FaceRestoreCFWithModel: These nodes are involved in face processing, where ReActorFaceSwap swaps faces between subjects, and FaceRestoreCFWithModel restores or enhances facial details in the video.

17. FILM VFI: Applies frame interpolation to create smoother motion in the video.

18. VHS_VideoCombine: Combines the processed frames back into a video format, adding audio and finalizing the video output.

19. KSampler Adv. (Efficient): An advanced sampler node that uses efficient methods to process and refine the video’s visual quality.

20. Efficient Loader: Loads models and data efficiently for processing, optimizing the workflow’s performance.

21. CR Apply Multi-ControlNet: Applies multiple control nets to enhance motion analysis and synthesis in the video processing pipeline.