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LTX 2.3 Reasoning VBVR Lora comparison on facial expressions
https://redd.it/1s6uthp
@rStableDiffusion
https://redd.it/1s6uthp
@rStableDiffusion
[Training-Free] Bring Famous Paintings to Life! Every Painting Awakened (I2V)
https://redd.it/1s6x7gq
@rStableDiffusion
https://redd.it/1s6x7gq
@rStableDiffusion
Reddit
From the StableDiffusion community on Reddit: [Training-Free] Bring Famous Paintings to Life! Every Painting Awakened (I2V)
Explore this post and more from the StableDiffusion community
Whats the verdict on Sage Attention 3 now? or stick with Sage 2.2?
I use Image Z Turbo, Wan 2.2 and LTX 2.3
I noticed that Sage Attention 3 altered the dress in a video of a dancing woman to a trousers when using LTX 2.3, I switched to Sage 2.2 and also tried disabling it and the issue was fixed
I actually thought it was the GGUF text encoder that causes the dress to turn into a pants but to my surprise it was Sage 3 that was causing it.
I went back to 2.2 only lost a few seconds speed by the quality was like if it' was disabled very good.
https://redd.it/1s73r4e
@rStableDiffusion
I use Image Z Turbo, Wan 2.2 and LTX 2.3
I noticed that Sage Attention 3 altered the dress in a video of a dancing woman to a trousers when using LTX 2.3, I switched to Sage 2.2 and also tried disabling it and the issue was fixed
I actually thought it was the GGUF text encoder that causes the dress to turn into a pants but to my surprise it was Sage 3 that was causing it.
I went back to 2.2 only lost a few seconds speed by the quality was like if it' was disabled very good.
https://redd.it/1s73r4e
@rStableDiffusion
Reddit
From the StableDiffusion community on Reddit
Explore this post and more from the StableDiffusion community
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I went from being a total dummy at ComfyUi to generating this I2V using LTX 2.3, I feel so proud of myself.
https://redd.it/1s76eod
@rStableDiffusion
https://redd.it/1s76eod
@rStableDiffusion
What can you do if your hardware can generate 15,000 token/s?
[https://taalas.com/](https://taalas.com/)
Demo:
[https://chatjimmy.ai/](https://chatjimmy.ai/)
Saw this posted from r/Qwen_AI and r/LocalLLM today. I also remember seeing this from a few years ago when they first published their studies, but completely forgot about it.
Basically instead of inference on a graphics card where models are loaded onto memory, we burn the model into hardware. Remember CDs? It is cheap to build this compare to GPUs, they are using 6nm chips instead of the latest tech, no memories needed! The biggest downside is you can't swap models, there is no flexibility.
Thoughts? Would this making live streaming AI movies, games possible? You can have a MMO where every single npc have their own unique dialog with no delay for thousands of players.
What a crazy world we live in.
https://redd.it/1s77t1e
@rStableDiffusion
[https://taalas.com/](https://taalas.com/)
Demo:
[https://chatjimmy.ai/](https://chatjimmy.ai/)
Saw this posted from r/Qwen_AI and r/LocalLLM today. I also remember seeing this from a few years ago when they first published their studies, but completely forgot about it.
Basically instead of inference on a graphics card where models are loaded onto memory, we burn the model into hardware. Remember CDs? It is cheap to build this compare to GPUs, they are using 6nm chips instead of the latest tech, no memories needed! The biggest downside is you can't swap models, there is no flexibility.
Thoughts? Would this making live streaming AI movies, games possible? You can have a MMO where every single npc have their own unique dialog with no delay for thousands of players.
What a crazy world we live in.
https://redd.it/1s77t1e
@rStableDiffusion
Taalas
Taalas | The model is The Computer
We are creating a platform that makes it easy to turn any deep learning model into custom silicon quickly.