LTX 2.3 + LTX Director is a Huge improvement
https://youtu.be/2dF0Ls_MKsY
https://redd.it/1tjfq7v
@rStableDiffusion
https://youtu.be/2dF0Ls_MKsY
https://redd.it/1tjfq7v
@rStableDiffusion
YouTube
LTX 2.3 with LTX Director Custom Node
Test using this great custom node called LTX Director, this give really great control over the videos direction and consistency.
you can find the custom node here: https://github.com/WhatDreamsCost/WhatDreamsCost-ComfyUI
you can find the custom node here: https://github.com/WhatDreamsCost/WhatDreamsCost-ComfyUI
Gemma 4 + New ComfyUI Nodes That Make Prompting Easy! (Ep18)
https://www.youtube.com/watch?v=Q39L_gki2M0
https://redd.it/1tjnfaz
@rStableDiffusion
https://www.youtube.com/watch?v=Q39L_gki2M0
https://redd.it/1tjnfaz
@rStableDiffusion
YouTube
Gemma 4 + New ComfyUI Nodes That Make Prompting Easy! (Ep18)
Gemma 4 in ComfyUI makes prompting easier with new workflow nodes like Prompt Pack, Prompt Multi, Prompt Stack, and Prompt Reader.
In this tutorial, I’ll show you how these new ComfyUI nodes help you create, organize, read, switch, and manage prompts more…
In this tutorial, I’ll show you how these new ComfyUI nodes help you create, organize, read, switch, and manage prompts more…
Flux 2 Klein destiled My Workflow, following numerous requests for yesterday's post.
https://redd.it/1tjpb1u
@rStableDiffusion
https://redd.it/1tjpb1u
@rStableDiffusion
Reddit
From the StableDiffusion community on Reddit: Flux 2 Klein destiled My Workflow, following numerous requests for yesterday's post.
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Control FLUX.2 with reference images instead of training a LoRA — demo
https://redd.it/1tjqssg
@rStableDiffusion
https://redd.it/1tjqssg
@rStableDiffusion
What happened to Hunyuan?
Hello!
I really liked the hunyuan model, did they go closed sources with further developments?
Any news about that? I think ltx is okay, but the visual quality of hunyuan sometimes even exceeded wan2.2, imo.
Best
https://redd.it/1tjvuvq
@rStableDiffusion
Hello!
I really liked the hunyuan model, did they go closed sources with further developments?
Any news about that? I think ltx is okay, but the visual quality of hunyuan sometimes even exceeded wan2.2, imo.
Best
https://redd.it/1tjvuvq
@rStableDiffusion
Reddit
From the StableDiffusion community on Reddit
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As someone who can already run most of the larger models (RTX 5090) I'm extremely glad I gave Anima Base a chance
I'll be honest. I didn't expect much from a 2B parameter model. I had initially written it off as being not worth the time simply because I had access to such powerful models with much higher parameter counts. I didn't see how it could possibly outdo what I already had. But wow, they really did one hell of a job on this, and I find that it produces better anime images (with easier prompting) than most of what's out there.
It doesn't suffer from a lot of the NLP problems where you get near identical outputs each time. It reminds me more of the SDXL / Pony era where you could give a general idea of what you wanted with tags (or yes NLP as well) and the model itself would find a way to make it interesting. This is one of those models where you don't even need an LLM to rewrite your prompts. Just give it a general direction and let it go.
The fact that it can understand NLP means it has a lot of the strengths of the older models without the weakness of getting shit confused. Like a blue hat and a red hat and 2 orange hats.
https://redd.it/1tjymfl
@rStableDiffusion
I'll be honest. I didn't expect much from a 2B parameter model. I had initially written it off as being not worth the time simply because I had access to such powerful models with much higher parameter counts. I didn't see how it could possibly outdo what I already had. But wow, they really did one hell of a job on this, and I find that it produces better anime images (with easier prompting) than most of what's out there.
It doesn't suffer from a lot of the NLP problems where you get near identical outputs each time. It reminds me more of the SDXL / Pony era where you could give a general idea of what you wanted with tags (or yes NLP as well) and the model itself would find a way to make it interesting. This is one of those models where you don't even need an LLM to rewrite your prompts. Just give it a general direction and let it go.
The fact that it can understand NLP means it has a lot of the strengths of the older models without the weakness of getting shit confused. Like a blue hat and a red hat and 2 orange hats.
https://redd.it/1tjymfl
@rStableDiffusion
Reddit
From the StableDiffusion community on Reddit
Explore this post and more from the StableDiffusion community