From Infinite Scene Images to Infinite Comic Books (ComfyUI first comic book generator from a simple story with consistancy using no references, LORAs etc).
A few days ago I published an article about a workflow capable of generating an effectively infinite number of consistent scene images using nothing more than a text description. The central idea was surprisingly simple: instead of maintaining consistency by carrying visual information from one generation to the next through LoRAs, ControlNet, reference images, edit models or image-to-image workflows, I continuously regenerated the description of the world itself. The previous image stopped being the source of truth. The description became the source of truth.
If you haven’t read it yet, you can find it here:
Ace Step 1.5 XL ComfyUI workflow for generating random tags, generate song and then give it a rating by using waveform analysis
The idea came to me after sorting trough a lot of Ace Step 1.5 XL outputs and trying to find best styles and tags for songs. Why not automate the generation process AND the review process, or at least make it easier. So as usual I used Qwen LM and Qwen VL (compared to something like olama these ones run directly in comfy and do not require a server) to randomize the tags on each run, but more importantly to try and rate the output. How ? By converting the audio output into a set of waveforms for 4 segments of the song that I feed into Qwen VL as an image and ask it to subjectively look at the waveform and give it feedback and rating, rating that is used then to also name the output file. Like this. I am not sure it works properly but the A+ rated songs were indeed better than B rated ones.
Workflow is here. Install the missing extensions and add the qwen models.
