Indie Anime Maker - Wan 2.2 + Qwen Image
Create smooth animated sequences with consistent character using Wan 2.2 and Qwen Image models.
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About Indie Anime Maker - Wan 2.2 + Qwen Image
Learn more about how to use and get the most out of this Pixelflow template
Indie Animation powered by Wan 2.2
Last Updated: 12 Aug, 2025
Looks like two state-of-the-art open source models from Alibaba, Wan 2.2 and Qwen Image have changed the image and video generation game all together. Wan's potential for helping independent artists and studios in the indie animation space got us excited. We created a Pixelflow to go from a simple prompt to a scene animation along with background music to help animators and content creators create high quality videos with minimal effort. Here is how it works
How it works
- •First we as the creator to share a few sentences about the scene. Eg. A 15 year boy, standing in rain, looking at Mount Fuji.
- •We then as Claude Sonnet to create a bunch of prompts that includes the prompt to generate the character with all the detailing, including their attire, prompt to generate the first frame for two cuts and prompts to animate the first frame.
- •Once we have all the prompts, we pass the character generation prompt to Qwen Image to generate the entire body, face and attire.
- •We then pass this character to Flux Kontext to generate the first frame for Cut 1 and Cut 2. These will act as first frame for video animation model.
- •We use the first frames for each of the cuts and pass it to Wan 2.2 to animate. We use the prompts generated by Claude to instruct Wan to animate it in a particular style and details.
- •We also create background audio using Google Lyra to add the audio component to make it richer.
- •We finally the two videos and the audio to create the final video.
Features
- •Flux Kontext helps maintain character consistency across scenes. The initial face is generated by Qwen image which can be substituted with a face that is already generated.
- •Smooth motion generation for animated sequences. We use 16:9 24FPS and 100 frames setting on Wan 2.2 to generate high quality video.
- •This workflow lets you create cost-effective animation production without large studio resources.
Fork this Pixelflow
For users who want to create just two scenes with the background music, this is great. But if you are a professional, you can fork this Pixelflow to control the exact character (instead of leaving it to AI to generate the face), add dialogues using Eleven Labs or other TTS models, post process the video using Topaz Video Upscaler for higher resolution studio quality color grading and so on.
Models Used in the Pixelflow
Explore the AI models that power this template.
Qwen Image
Qwen-Image revolutionizes image generation and editing with seamless multilingual text integration and photorealistic detail.
Wan 2.2 Image to Video Fast
Transforms simple text prompts into breathtaking cinematic-quality videos in minutes.
Flux Kontext Pro
FLUX.1 Kontext Pro transforms text prompts into high-quality, customized images with remarkable efficiency and precision.