Magihuman now on Wan2gp

Its out people. What kind of gens are you getting out of it?

https://huggingface.co/DeepBeepMeep/MagiHuman

https://redd.it/1se5o3k
@rStableDiffusion

I spent 3 months evolving SmartGallery into a free professional Local First DAM. v2.11 launches on April 9th

https://preview.redd.it/btvzkruzemtg1.png?width=1899&format=png&auto=webp&s=3891b8f2a7df98942a0643eb649e623f817211ae

Hi everyone!

Many of you know SmartGallery as a standalone gallery for ComfyUI. For the last 3 months, I have been working to turn it into a complete Digital Asset Manager (DAM) for AI creators.

I just launched the new website with the full documentation and feature list of the upcoming v2.11: [https://smartgallerydam.com](https://smartgallerydam.com)
The new v2.11 with all the DAM features will be officially released this Thursday, April 9th.
Important note on versions: If you visit my GitHub repo today, you will find the current v1.55. It is a solid and functional standalone gallery [https://github.com/biagiomaf/smart-comfyui-gallery](https://github.com/biagiomaf/smart-comfyui-gallery)
I would love to get some early feedback on the the features before the official push on Thursday. Does this look like something that would fit your workflow?

Don't worry: all your current setup and database data will work perfectly in the new version, always free and open source.

https://redd.it/1se8sfd
@rStableDiffusion

Another AI Image Viewer - SilkStack

https://redd.it/1seavkb
@rStableDiffusion

Inpainting with reference to LTX-2.3 (MR2V)

Hey everyone, today I’m sharing an experimental IC LoRA I trained for LTX-2.3. It allows you to do reference-based inpainting inside a masked region in video.

This LoRA is still experimental, so don’t expect something fully polished yet, but it already works pretty well — especially when the prompt contains enough detail and the mask is large enough to properly fit the object you want to place.

I’m sharing everything here for anyone who wants to test it:

Hugging Face repo:
https://huggingface.co/Alissonerdx/LTX-LoRAs

Direct model download:
https://huggingface.co/Alissonerdx/LTX-LoRAs/blob/main/ltx23\_inpaint\_masked\_r2v\_rank32\_v1\_3000steps.safetensors

Workflow:
https://huggingface.co/Alissonerdx/LTX-LoRAs/blob/main/workflows/ltx23\_masked\_ref\_inpaint\_v1.json

Civitai page:
https://civitai.com/models/2484952

It can also work as text-to-video if you use a blank reference and describe everything only in the prompt.

Important note: this LoRA was not trained for body, head, face swap, or similar inpainting use cases. It was trained mainly for objects. If you want to do head swap, use my head swap LoRA called BFS instead.


Since this is still experimental, feedback, tests, and results are very welcome.

https://reddit.com/link/1secygl/video/bxrfa5bu7ntg1/player

https://reddit.com/link/1secygl/video/813vpjdh6ntg1/player

https://reddit.com/link/1secygl/video/jqnwx9bi6ntg1/player

https://redd.it/1secygl
@rStableDiffusion

[Release] Video Outpainting - easy, lightweight workflow

https://redd.it/1seeem7
@rStableDiffusion

Pixelsmile works in comfyui -Enabling fine-grained microexpression control. Workflow included.

https://redd.it/1sefy2t
@rStableDiffusion

The people getting the best outputs from AI tools aren't the best prompt engineers. They're the ones who already know what good looks like.

I've been thinking about this after using both Stable Diffusion and Claude/Lovable for a commercial website rebuild, and I think the same principle applies to both.

When I started using SD, I assumed the people getting extraordinary results just had better prompt formulas. But the more I paid attention, the more I noticed something else. The photographers were getting better photorealistic outputs. The illustrators were getting better illustrated outputs. The designers were getting better-designed outputs.

The tool didn't level the playing field. It amplified whatever eyes and taste people already had.

The prompt "a woman in dramatic lighting" gets very different results from someone who understands Rembrandt lighting, split lighting, practical light sources, and motivated shadows — versus someone who just knows the words. Same prompt on paper. Completely different understanding behind it.

I think this is the underappreciated skill gap in AI generation. It's not prompting. It's visual literacy. The ability to look at an output and know precisely what's wrong and why — and then know what words to change to fix it.

A useful exercise I found: when I get an output that's close but not quite right, instead of changing the prompt randomly, I ask Claude to analyse what specific visual or compositional principle is being violated. Then I know exactly what to change. Treating the AI as both executor and critic is more powerful than using it as just one or the other.

Curious if others here have found the same pattern. Does domain expertise in visual fields transfer more than people think? Or does the tool actually reduce the advantage of having a trained eye?

https://redd.it/1sej6y0
@rStableDiffusion

LTX2.3 Multi Image reference
https://youtube.com/shorts/XfgfMuNB99g

https://redd.it/1secxzc
@rStableDiffusion

The tool you've been waiting for, a FREE LOCAL ComfyUI based Full Movie Pipeline Agent. Enter anything in the prompt with a desired scejne time and let it go. Plenty of cool features. Enjoy :) KupkaProd Cinema Pipeline. 9 Min Video in post created with less than 40 words.

https://redd.it/1selevy
@rStableDiffusion