A new open weights image model appears in ArtificialAnalysis. Outperforming Flux.2 Pro and Z Image Turbo.
https://redd.it/1t3rd6m
@rStableDiffusion

Mickmumpitz has knocked it out of the park with this LTX2.3 and Klein movie-making workflow
https://www.youtube.com/watch?v=0mT4p86ZxGQ&t

https://redd.it/1t3og0x
@rStableDiffusion

OneTrainer now supports Ernie LoRA

It has presets for 16GB VRAM and 8GB VRAM. Hopefully they add full fine tuning support too.

Ernie Image Hugging Face repo.
OneTrainer Github repo.

https://redd.it/1t3u8fn
@rStableDiffusion

2.5D Fantasy Style LoRA for Anima – Trained in 1 hour
https://redd.it/1t3s0v3
@rStableDiffusion

Load Video UI - Custom Node to Trim, Resize, and Preview Videos in Realtime

https://redd.it/1t3x1ec
@rStableDiffusion

It's the 24th century. How is there still no actually good porn model?
https://redd.it/1t445jw
@rStableDiffusion

Y'all might want to try this
https://redd.it/1t472kw
@rStableDiffusion

Any model capable of creating such detailed environments.

https://redd.it/1t49txv
@rStableDiffusion

Converting 2D animations to 3D with LTX 2.3 Lora
https://www.youtube.com/watch?v=g88lmbYmZWs

https://redd.it/1t4a0r5
@rStableDiffusion

My LTX 2.3 LoRA Training Journey: Fighting for VRAM even with a 5090

I recently completed a training run for an LTX 2.3 LoRA and wanted to share my settings and findings for those working with similar hardware. I’m running an RTX 5090 with 32GB of VRAM.



1. Tooling & Troubleshooting

AI-Toolkit: I initially tried using AI-Toolkit, but it was a frustrating experience. It suffered from frequent, random freezes with no clear way to debug or recover.

Official Trainer: I eventually switched to the official Trainer scripts. Since the official scripts can be a bit finicky to set up, I used AI agents like Claude to help debug and refine the scripts. This made the transition much smoother and allowed me to get the environment running properly.



2. VRAM & Stability (Avoiding OOM)

To fit the training within 32GB VRAM, a few adjustments were necessary:

Disable Audio Module: This is a mandatory step to prevent Out of Memory (OOM) errors.

Resolution: I settled on 512x512x49. Anything beyond these dimensions proved unstable on my setup.

Other Settings: Followed the official recommended configurations.



3. Performance Metrics

Speed: \~0.58 steps/second.

Total Duration: 1500 steps took approximately 40 minutes.

https://preview.redd.it/ktmt9cljoazg1.png?width=1039&format=png&auto=webp&s=d2ac1f8234c5d822ffe0f479ca9937a1bf1ce3cd

4. Results & Conclusion

The primary goal of this LoRA was to capture specific repeating motions in 2D animation.

The results were very satisfying. While the base LTX model didn't naturally produce these specific movements, adding the LoRA successfully introduced the intended motion patterns. Interestingly, even though I trained at a lower resolution/frame count (512px, 49 frames), the LoRA generalized perfectly to high-resolution inference at 121 frames.



https://redd.it/1t4bbsi
@rStableDiffusion

Badass professional workflow - How High-Effort AI Usage Looks

https://youtu.be/--LJZeuN2PE?si=aps7FTS480hVcavu


The video shows how to create the initial and final frames of an animation, starting from the manual creation of an original robot to the creation of environments and 3D meshes to guide the various AI steps.

https://redd.it/1t49nyt
@rStableDiffusion

LTX2.3 8GB VRAM WorkFlow
https://redd.it/1t4ef4l
@rStableDiffusion

GTA 70s - Teaser Trailer: Z-Image Turbo - Flux Klein 9b - Wan 2.2

https://redd.it/1t4gjfj
@rStableDiffusion

I built a dual-monitor image curator for sorting large Stable Diffusion output folders (looking for feedback)

Hey all,



After generating way too many images and struggling to sort through them, I ended up building a small desktop tool to handle it.



The goal was to make reviewing large output folders faster without breaking workflow.



Right now it lets you:

\- Tag images as favorites, junk, or other preset categories

\- Filter and isolate specific groups quickly

\- Jump through large batches (10 / 25 / 50 / 100 at a time)

\- Use a dual-monitor setup so one screen stays clean for viewing



I mainly built it because going through thousands of images in file explorer or basic viewers was getting painful.



It’s all local, no cloud stuff, just meant to be fast and simple.



Curious how other people are currently managing their image libraries and whether something like this would actually fit into your workflow.



Happy to share it if anyone wants to try it out.

https://redd.it/1t4rx5r
@rStableDiffusion

Wireframe - Flux.2 Klein 9b style LORA

https://redd.it/1t4udu2
@rStableDiffusion