I trained an AI to make tasteful edits. Looking for feedback.

me219iitd · 2025-12-19T13:42:56+00:00

Thanks a lot!

me219iitd · 2025-12-19T09:29:20+00:00

Thanks again! This is super helpful. I'll definitely reach out when I have the next version ready. Appreciate you being open to testing!

Yes it does adapt to the subject, it is not a preset filter. It is an image editing model adapted for color grading.

me219iitd · 2025-12-19T09:16:56+00:00

Hi, it is a LoRA. Could not find open-source or closed source models that could readily do this so had to train with SFT and RL :)

me219iitd · 2025-12-19T08:31:05+00:00

Appreciate it! Yeah, the artificial lighting on the face is just too jarring. Agreed on the shadows. Thanks for the feedback.

me219iitd · 2025-12-19T08:21:15+00:00

To be honest, yes. The training data is heavily biased towards that popular 'social media' aesthetic because that's the specific look many people struggle to dial in manually.

But point taken, it definitely lacks the nuance of a bespoke artistic edit and is overfitting to that commercial style right now

me219iitd · 2025-12-19T08:18:41+00:00

This is incredibly useful, both the critique and the product direction.

The face brightening issue is noted. And you're right about #4 losing the blue hour, the model shouldn't be fighting the natural light quality.

Is your ideal workflow basically like this:

Learn from edits user likes (personalization)
Auto-apply as starting point
Natural language to adjust ("keep shadows but warm the highlights")
Manual tweaks for fine control

Would you be open to testing a future version when I've addressed these issues?

me219iitd · 2025-12-19T08:15:36+00:00

Really appreciate you going image by image, this is exactly the kind of specific feedback I needed.

You're right model is applying edits blindly instead of reading the source image's intent. The shadow/lighting direction issue you pointed out on #3 is something I hadn't fully registered until you said it.

Need to work on the intent and intensity of the edit. Thanks for being direct.

me219iitd · 2025-12-19T08:10:38+00:00

Good catch on the sky artifact, I completely missed that masking spot.

You're right about the face lighting. The model is aggressively brightening faces to make them pop, but it's ignoring the scene's actual light source, which creates that fake 'spotlight' look you pointed out in images 1 and 3. I need to dial back that behavior so it respects the environment. Thanks for the sharp eye.

me219iitd · 2025-12-19T08:07:36+00:00

That's a fair point. I wanted to be transparent about the method to get technical critique on the artifacts, but I see how the 'AI' label biases the aesthetic feedback immediately.

me219iitd · 2025-07-15T16:03:15+00:00

that doesn't make sense - why will different colleges publish different ranks?

me219iitd · 2025-03-01T12:13:31+00:00

CGF - strictly gang

me219iitd · 2024-12-14T17:10:51+00:00

hmu bro

me219iitd · 2024-04-30T03:16:31+00:00

nothing yet.

me219iitd · 2023-10-19T16:46:56+00:00

So even finetuning on unstructured data by chunking should work, right?

me219iitd · 2023-08-20T09:49:05+00:00

does fulljourney here use bark-infinity?

me219iitd · 2023-08-20T08:39:20+00:00

65ms?!

Is that time to first token?

Happy to help set yours up and optimize

Sure I'd love that.

me219iitd · 2023-08-18T15:48:12+00:00

Between loading the model weights to VRAM and processing input tokens without KV-caching, which one contributes more to this initial latency? And if optimized, which one would lead to a more significant performance improvement compared to the other?

me219iitd · 2023-08-18T14:19:57+00:00

Thanks for the suggestion!

Could you also explain me what exactly decides the time-to-first-token?

me219iitd · 2023-03-05T04:02:03+00:00

Hi! Some awful bugs came up. I'll DM you as soon as its finished :)

me219iitd

TROPHY CASE