What the practitioner communities are talking about today. · ranked by recency within each subreddit · pulled 15d ago
https://preview.redd.it/kihat320ashh1.png?width=1672&format=png&auto=webp&s=a7ccc40ba3fb229ac7ebf57e8e6a314e0ee45646 Hi r/StableDiffusion ! u/New-Requirement1419 -> dacongya (Head of H3 Researcher) u/Affectionate-War8374 -> Luigi (H3 Researcher) u/MM_Nero_H3 -
New music model :) Demo: https://minimax-ai.github.io/music3-demo/ I guess Yoland was speaking of this on r/comfyui as the big announcement
Hey all! This started as a way to mark my 15th anniversary working in video game cinematics. I thought it would be fun to make a completely ridiculous, fictionalized version of how I got into the industry, presented as the trailer for a big 1995 action movie.
The maximum frame count allowed by the native "MiniMax H3 Reference to Video" node technically is 1008, even if that's way over the training range of the model, which is 324 frames. But why not try? So I ran a few tests and although the result is a bit sloppy
The idea of the video is to compare the quality loss/change from the different methods of speeding up the rendering of the videos on Minimax H3 on low motion scenes. OBS: All scenes were rendered at 480p with the exact same seed and prompt. The int8 vae was ta
I just found this, i think is incredible! https://github.com/Carasibana/ComfyUI-H3-FaceRefine I'm not the developer just found the repository I make this functional WF for my laptop to create this video and share with you before go to sleep, try it! Minimax H3
A short showreel showcasing some of the videos I've created with LTX 2.5 so far. Really enjoying experimenting with the model and seeing what I can create with it. I also made a full review covering my workflow, tips, optimizations, and resources: Watch my LTX
https://reddit.com/link/1vnk0c7/video/gkhuj6ybw6jh1/player Ran the official Ref2VA turbo example workflow from the ModelTC/Minimax-H3-Turbo repo ( video_minimax_h3_ref2v_lightx2v_turbo.json ) in ComfyUI, testing a short Victorian-style dialogue scene between t
Just noticed H3 is already the most downloaded MiniMax model, and also the most downloaded MiniMax model on ComfyUI, in basically 2 weeks. What’s kinda funny is that I barely knew about MiniMax a few weeks ago. Now I’ve been messing around with H3 for the past
This subreddit was created with the intent of being fully community driven and moderated. comfy.org social media team have reached out and inquired about getting additional permissions. To be very clear they have not demanded and every single interaction I’ve
Give it lyrics and a description of the sound you're going for, and it renders a full song: intro/verse/chorus/bridge structure, consistent vocal identity, up to 5 minutes long, 32kHz 16-bit stereo out. Actual songs! Not just loops or clips. Quick flag upfront
I did a quick comparison between no attention acceleration , SageAttention , and ComfyUI-Kitchen on an RTX 5090. Workflow Diffusion Model: minimax_h3_ref2va_pruned_int8_convrot.safetensors Text Encoder: qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors Video Settin
Learn how to use Krea 2 Edit in ComfyUI to edit images, preserve character identity, replace outfits and backgrounds, and place characters into new scenes. I’ll also show you how to generate MiniMax H3 prompts locally in ComfyUI using the Video Prompt Pixaroma
14 clips, none of the few cuts are at the merging point of two clips.
same lyrics as in the demosong, but i took a country arrangement. enjoy the crisp banjos. really nice model! runs stable on an AMD 7900 GRE (16GB VRAM) and 32GB RAM.
MiniMax Music 3 crash on AMD (7900 GRE / ROCm) fixed AttributeError: 'RVQDepthDecoder' object has no attribute '_v_block' (happens in MiniMaxMusic3TextEncode during AR sampling) Example for Docker Compose: command: ["python3", "main.py", "--listen", "0.0.0.0",
Resize Image/Mask Alt ◯ I put together an alternative to ComfyUI's native Resize Image Mask node to make it more practical for many use cases, reduce the necessity for additional pre/post processing nodes, and include additional resize options I personally use
I love this model. I cancelled my Suno today.
Links Official changelog GitHub release New Open-Source Model Support LTX 2.5 : Native LTX 2.5 support with STG, dual CFG, and duration prediction Partner Node Updates Qwen Image 3.0 : Added Qwen-Image 3.0 and 3.0 Pro text-to-image and edit nodes LTX 2.5 : Add
Wowee!! Just when you thought it couldn't get better for open weight models, we probably have had our best period yet!?!?! Models that rival the closed frontier, Opus level models on non-insane hardware and more. A massive industry alliance coming out in suppo
I've been googling "tar extract gz" for about ten years. and I finally did something about it. It started out as a research project and I ended up with a Fine-tuned Qwen2.5-Coder-1.5B on 125k natural-language/command pairs, merged and quantized to Q4_K_M. 941M
From DeepSeek on 𝕏: https://x.com/deepseek_ai/status/2087864585504305397
Just watched Wendell's (level1 techs) latest video on the HP Z8 Fury desktop workstation and was curious how you could configure it. And oh boy, there's an option for 2TB which costs some $211k just for the RAM alone. But the real interesting part with the lat
There's no training anywhere in this. I ported Doom's actual rendering algorithm into transformer weights using a compiler I wrote (torchwright) -- every weight computed, none learned. The prompt carries the level geometry, player position, and view direction;
DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture where everything is a plugin, and is powered by Cordis, whose design is described in A Programming Paradigm for Spatiotemporal Composability. DeepSeek Harn
Qwen just released their first 3.8 model. The main addition in 3.8 is prompt-steered reasoning effort. You can tell the model how deeply to think by setting reasoning_effort to xhigh , medium , or low . However, the official template still has some serious pro
uploading...I think
City2Graph is a Python library I built that turns geospatial data into analysis-ready graphs (for spatial analysis, network analysis, and Graph Neural Networks as GeoAI), and the paper describing it has just been published, so I wanted to share it here. Reposi
Reviews modified dates are public, and some are recent. I’m a bit confused as to how to interpret this. In other conferences, reviewers were required to provide a final justification, which would practically force them to modify their reviews during the AC dis
I've been building an open-source tool for diagnosing world models, the kind that predict future frames from a starting context and a sequence of actions. It compares a rollout against ground truth and against physical invariants, then tells you where and why
It’s an ML PhD with secure funding for 4–5 years and a senior, respected advisor. You get almost complete freedom to choose your own topics, projects, and collaborations, with very little micromanagement. The downside is that the advisor is also very hands-off
I’m working on performance regression detection using machine learning/anomaly detection. My setup is basically: Healthy runs are used to learn normal behaviour Regression runs are used to see whether the model detects the anomaly For each counter group I only
https://i.redd.it/ipz7i6ife1jh1.gif Notebooks to replicate on github!
Once the paper is ready, everyone checks the venue location before the acceptance rate anyway. So I built: https://honestcsrankings.org It maps ~540 upcoming CORE-ranked conferences, but ranks them by how good the destination actually is. It factors in: Weathe
I’m currently looking to expand my knowledge past utilisation of AI and Machine Learning through using LLMs and SaS in business applications but I don’t know where to start. I have a university background with CompSci, and so a degree of theoretical knowledge
In a factored model W = UV^T, the loss is invariant to rotations (U,V) → (UQ, VQ). Gradient Descent (GD) respects this property. Adam's per-coordinate second moment does not, because it depends on the specific basis in which the factors are written. The claim
I'm researching predictive analytics for a graduate project and mortgage lending came up as an interesting use case. I understand lenders try to predict who might refinance, but what kinds of variables are actually useful? Is it mostly credit activity, propert
Link: https://arxiv.org/pdf/2604.27883 Hi, Most of use are familiar with the headache of training a neural network using gradient descent where the training error may go to zero but the test error may stay the same as initialization or even increases. My paper
I am now reviewing a bunch of papers for AAAI 2027 and it has surprised me the low amount of submissions with no code implementation. I don’t know if it has been only in my batch or it is common, but I was expecting very detailed appendices + code submission s
> Today, we’re sharing an early look at Ultrafast, a new service tier that runs GPT‑5.6 Sol up to 14× faster than Standard processing, launching first in the OpenAI API. Powered by Cerebras, Ultrafast generates up to 750 output tokens per second, bringing our
just in, OpenAl has quitely updated their privacy policy to include the following: We’re updating our Privacy Policy to include information about ads in ChatGPT, including how they work and how you can control your experience. Ads may appear on Free and Go pla
A new output from this experimental real-time BCI system for TouchDesigner; a Brain-Computer Interface pipeline that reads live EEG signals, classifies your mental state, and autonomously generates responsive AI video: a meditation guide that adapts to your br
Open weights model usage on OpenRouter declined to below 50%
I joined the waitlist soon after it launched because I didn’t have it yet, and still nothing. My account meets all the eligibility requirements and I usually get new features as soon as they come out.
Just got this email from OpenAI about ads coming to ChatGPT. Personally I don't really mind ads if they're clearly separated and don't affect the answers.But I'm a little unsure about personalized ads based on the context of our chats. What do you guys think?
For my research and work now I am running a looot of iterative optimization loops aka autoresearch aka just loops. After spending months on this, I now realize that loops is now the dominant way i approach any kind of development: from model training (which is
I'm using the GitHub connector in ChatGPT for normal repo work. Reads and some writes work, but other completely legitimate GitHub operations suddenly fail before reaching GitHub with: > "This tool call was blocked by OpenAI because we couldn't determine the s
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