Introduction
This is a creative workflow built on ComfyUI and deeply integrated with the WanVideo plugin from Ali Tongyi Wanxiang, allowing you to immerse yourself in the thrilling world of Squidward Games 3. Start by using FLUX to generate an image of your favorite character. This still image will be transformed into a vibrant video under the magic of WanVideo, taking you into this game of creativity and imagination.
Start your creative journey and use the powerful FLUX tool to generate an image of your favorite character in Squidward Games 3. Whether it is the mysterious "Masked Administrator", the tenacious "Sung Ki-hoon", or other unforgettable characters, FLUX can help you present your imagination in stunning details. After generating the character image, use the "Load image" node to introduce your creation into the ComfyUI environment. At the same time, the "Load WanVideo to TextDecoder" node will start the system and prepare for the next conversion process. Use the WanVideo Loader and WanVideo TextDecoder nodes to load the model and configure the parameters precisely. At this stage, your still image begins to take on a new life, incorporating the exciting creative possibilities of Squidward Games 3. Through meticulous work such as color matching and image stitching, your character image is transformed from static to dynamic. Each adjustment draws on the visual essence of the series, giving the work a unique dramatic tension. The climax of the workflow is the video synthesis, where all the elements are combined into one. The final dynamic video not only shows your favorite Squidward 3 characters, but also transcends the boundaries of imagination and becomes a visual feast.
This workflow is not only a series of steps, but also an invitation to explore and create. With WanVideo and the exciting background of Squidward 3, your creativity will be unfettered. Now, let the games begin!
Wan-Video
a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan2.1 offers these key features:
- đ SOTA Performance: Wan2.1 consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks.
- đ Supports Consumer-grade GPUs: The T2V-1.3B model requires only 8.19 GB VRAM, making it compatible with almost all consumer-grade GPUs. It can generate a 5-second 480P video on an RTX 4090 in about 4 minutes (without optimization techniques like quantization). Its performance is even comparable to some closed-source models.
- đ Multiple Tasks: Wan2.1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation.
- đ Visual Text Generation: Wan2.1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications.
- đ Powerful Video VAE: Wan-VAE delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation.
https://github.com/Wan-Video/Wan2.1
https://huggingface.co/Kijai/WanVideo_comfy
Recommended machineďźUltra-PRO
Workflow Overview
How to use this workflow
Step 1: Load Image
If you don't have a relevant image, you can generate one in the previous FLUX Text2Image.
Step 2: Adjust Video parameters
Under 81 frames doesn't seem to work
Step 3: Input the Prompt
No need to describe the entire picture in detail, just enter key information such as lens, action, etc.
Step 4: Set the number of sampler steps
When I was testing, the effect of generating a two-dimensional video was very good when step=30, and the real person would have a bad face; when step=50, the real person's facial texture gradually became clear, and there was a small probability of drawing a card
Step 5: Get Video
