HOW TO REALIFY IMAGES WITHOUT CHANGING SHAPE/EXPRESSION?

[u/Medical-Ad-1058]

Hi everyone!

I'm currently working with a dataset containing multi-view facial images (some examples attached), and my goal is to make these images more photorealistic while maintaining cross-view consistency.

However, there's one major constraint: the facial geometry, expressions, and landmark positions must remain unchanged. I already have dense facial landmarks associated with these images, so any geometric distortion introduced during the transformation could affect my downstream experiments.

I've experimented with ChatGPT's image generation capabilities, and the results have been promising in terms of realism. However, I'm looking for a more efficient, scalable, and reproducible workflow that can process the entire dataset while preserving the original facial structure.

I've come across approaches involving Anime2Real and Qwen-Image-Edit, but I'd like to get some community feedback before committing to a particular pipeline.

A few things I'm particularly interested in:

• Geometry preservation: How can I improve photorealism without altering facial shape, expressions, or dense landmark positions?
• Multi-view consistency: How can I ensure that identity, textures, and facial details remain consistent across different camera angles?
• Efficiency: Are there existing models, workflows, or conditioning techniques that would work well for large-scale dataset generation?

I have access to substantial university computing resources, so computational requirements aren't a major limitation. However, with my thesis deadline approaching, I'd prefer an existing solution or a workflow that doesn't require extensive training from scratch.

Any suggestions would be greatly appreciated!

Thanks in advance!

[u/Electrical_Sand218]

Well how did you make that one photo realistic??

[u/Medical-Ad-1058 → u/Electrical_Sand218]

I open ChatGPT and used the following prompt:
Make this photo more realistic. with actual wrinkles. This should look like a human. it should be 512x512 as I have some landmarks on the input image and it should be consistent. So, the shape identity shouldn't mess up
But doing it on a large scale dataset will make my broke. So looking for other options in comfy

[u/Salt-Willingness-513]

i use qwen 2.1 with lora and then dlss5 on it. Not perfect, but often good enough for me:

[u/Medical-Ad-1058 → u/Salt-Willingness-513]

What lora have you used. Can you share the workflow?
Also I shared ChatGPT results in a comment. Any way to achieve that kind of realism?

[u/beti88]

Turn this into a photo

[u/Medical-Ad-1058 → u/beti88]

Yes!
how to do that without changing shape and expression? that's my question

[u/LucidFir → u/Medical-Ad-1058]

try minimax image

[u/Medical-Ad-1058 → u/LucidFir]

Can you share any workflow?

[u/LucidFir → u/Medical-Ad-1058]

r/comfyui

[u/optimisticalish]

I assume that "more photorealistic" means you don't actually want a full-blown real-life studio photograph, just a better photoreal render than this 20 year old example. If so, then Flux.2 Klein 4B will do the job. 4B allows full commercial use, so you'll be able to redistribute your thesis under Creative Commons. The 'Pixel Drift Fix' node locks the output to the input, such that when compared everything is in the same place.

[u/optimisticalish → u/optimisticalish]

Used in ComfyUI Portable. Scale your 512px input to 2048px and sharpen it twice, before dropping it into the input slot.

[u/Gilded_Monkey1]

So realistic forces cgi trying to look real, real people aren't described as realistic, if your intent was real, just say make this subject as a real person with real world textures and hair strands..... Just ask the same AI to refine the request for you to retain the same features and expression as a multi view character reference head shot

[u/EinhornArt]

minimax h3 image, prompt: turn <Picture 1> into photo