Semi‑realistic is truly amazing for anime
https://redd.it/1t3hnl2
@rStableDiffusion
Ernie-image-edit still coming ?

I have looked for news about it everywhere but all i heard were roumours, some saying that it’s delayed but other saying it’s not coming anymore. - none of the sides giving any reason or source.

So i guess i’m asking if everybody heard anything on twitter or somewhere else about the model ?

Personally i’m super excited for it and i’ve been looking forward for it’s release. I like the quality of the t2i model lots.

Flux2 klein is pretty much the only edit model i can use and would like an alternative since qwen and fire red are too heavy, can’t get joy image and glm to run. Also there’s long cat image that i installed but seems a little too plastic on what it edits at times

https://redd.it/1t3jzt4
@rStableDiffusion
A new open weights image model appears in ArtificialAnalysis. Outperforming Flux.2 Pro and Z Image Turbo.
https://redd.it/1t3rd6m
@rStableDiffusion
2.5D Fantasy Style LoRA for Anima – Trained in 1 hour
https://redd.it/1t3s0v3
@rStableDiffusion
It's the 24th century. How is there still no actually good porn model?
https://redd.it/1t445jw
@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