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Comfyui HunyuanVideoWrapper IP2V
Overview :
ComfyUI-HunyuanVideoWrapper-IP2V is a video generation tool that leverages the HunyuanVideo framework, allowing users to generate videos (IP2V) through image prompts, using images as conditions to extract concepts and styles. The main advantage of this technology is its ability to integrate the style and content of images into the video generation process, rather than using them merely as the first frame of the video. Currently, the tool is in an experimental phase but is functional, requiring a minimum of 20GB of VRAM.
Target Users :
The target audience includes video creators, content creators, and AI enthusiasts. Video creators can explore new methods of video creation with this tool, content creators can generate video content using image prompts, and AI enthusiasts can delve deeper into the technology of transforming images into videos.
Use Cases
Use IP2V technology to convert landscape images into videos for travel promotion.
Transform product images into videos for e-commerce product displays.
Generate videos from historical images for educational and documentary production.
Features
Supports image-to-video conversion (IP2V): Utilizes images as conditions for video generation rather than simply as the first frame.
Image style and concept extraction: Extracts the style and concept of images via prompts, integrating them into the video generation.
Model selection and configuration: Supports downloading models and placing them in a specified folder, or relies on an automatic download mechanism.
Image loading and connection: Uses native ComfyUI nodes to load images and connect them to the Hunyuan TextImageEncode node.
Advanced configuration options: Provides `image_token_selection_expression` to select which portion of the image's hidden state is used as a condition.
Supports multiple image inputs: Up to two images can be connected to the Hunyuan TextImageEncode node.
Experimental features: The product is in progress but is already functional.
How to Use
1. Choose a model: Download the xtuner/llava-llama-3-8b-v1_1-transformers model and place it in the models/LLM folder, or utilize the automatic download feature.
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2. Set model type: Configure lm_type as vision_language.
3. Load and connect images: Use the native ComfyUI node to load images and connect them to the Hunyuan TextImageEncode node.
4. Image prompts: Include the <image> tag in your prompts to reference images.
5. Advanced configuration (optional): Adjust image_token_selection_expression as needed to select which part of the image's hidden state to use for conditions.
6. Generate video: Create video content based on the configuration and prompts.
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