AI Video Creator | AI researcher | ComfyUI workflows | Automated Workflows | Sharing open-source tips | Prompting skill |

Joined July 2024
19 Photos and videos
Stumbled upon an absolutely insane upscale tool by @philz1337x ! 🤯 I don't know his exact method, but it inspired me to build my own. Right now, I am actively developing an advanced @ComfyUI workflow, creating several brand-new custom nodes, and training a specific LoRA for this upscaling task. I just tested upscaling a 1MP image to a massive 310 Megapixels, and the early results are incredibly promising! 🔥 Once development is complete, I will immediately share the entire toolkit publicly here on X and drop a deep-dive video on my YouTube channel. If you are interested in this project, please drop a follow to my X Account and subscribe to my YouTube: youtube.com/@JettHuangAIYour support is my biggest motivation to keep researching and building! 👇 #ComfyUI #StableDiffusion #AICommunity #GenerativeAI
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Part of the NH-Nodes suite: A node for compositing layers onto a background. It supports an unlimited number of layers and allows the use of mathematical expressions to automate any layout you desire. Where: Background width = a - Background height = b Layer 1 width = w1 - Layer 1 height = w2 Each row represents the corresponding x;y coordinates for each layer. Row 1 is assigned x1,y1 - Row 2 is x2,y2, and so on. In the process of building custom workflows, you will occasionally encounter needs like this; instead of having to chain multiple "paste" nodes together, you will only need to use a single node.
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I am developing a powerful custom nodes for automation in @ComfyUI , orchestration, and adaptation to various scenarios. This node set is being developed based on projects I have worked on where I encountered automation-related challenges. These custom nodes are currently under development and are being continuously refined. Please use and evaluate them so I can improve them to the best of my ability. github link: github.com/jetthuangai/NH-No…
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Jett Huang retweeted
Este tipo acaba de revelar cómo construir webs cinematográficas de 10.000$ en un tutorial de 16 minutos. La combinación es Gemini 3.1 Seedance 2.0 y el resultado parece producción de agencia de lujo. Gratis. 16 minutos.

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I haven't used Node 2.0 yet, but with the current @ComfyUI and #custom_nodes, we can simplify and make the workflow extremely streamlined and highly automated.
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I have created a set of nodes in @ComfyUI for automatically switching between two process flows without using bypasses, ensuring only a single process executes instead of both simultaneously. Previously, we had to use bypass or mute to prevent them, but this led to an excessive number of connections in the #workflow, or too many groups, and made #API implementation more difficult.
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I have just completed a highly efficient character swap workflow with @ComfyUI ; through numerous tests, its stability and accuracy have reached near-maximum levels. Along with that, I have also trained a specialized LoRA for this task with #AITookit of @ostrisai . The workflow for both Klein 4B and 9B are responding very well. #ComfyUI #CharacterSwap #Lora #Tranning
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Jett Huang retweeted
we are waiting for a new image edit model! FireRed-Image. A versatile high-fidelity editor; - preserves text styles; - restores old photos; - multi-image tasks. It seems to be based on Qwen-Image.. github.com/FireRedTeam/FireR…
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Jett Huang retweeted
Introducing Driftin! I trained DDPM and a new method called "Drifting" on the same 38M-param UNet on CIFAR-10 (classical 8xH100 setup). > DDPM: 50 denoising steps, 418ms per image > Drifting: 1 step, 3.26ms per image > 306 FPS on a single 3090. 57x faster. Same network. > Drifting learns to map noise directly to images in one forward pass using drift fields computed from DINOv2 features. No iterative denoising. No distillation. Just one step. > The quality gap is real at this scale -- but DINOv2 features closed a huge chunk of it, and we have only trained with global batch 1024. Drift signal quality scales directly with batch size. This is the opposite of diffusion. > If the quality gap closes with scale, real-time AI video generation is not a dream -- it is an engineering problem. 77 FPS at 512x512 via latent space on a consumer GPU. Compute sponsored by @VoltagePark Code devlog below.
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Custom workflow with 3D Ghost Mannequin Lora: huggingface.co/nhathoangfoto…
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Jett Huang retweeted
ComfyUI-Qwen3-ASR: Audio-to-text transcription nodes. - supports 52 languages & dialects; - 1.7B/0.6B models, plus optional word-level timestamps and batch processing. github.com/DarioFT/ComfyUI-Q…
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Jett Huang retweeted
ComfyUI Kitchen NVFP4 Converter: - A high-performance node for NVFP4 conversion; - cuts model size by 3.5× while preserving near-BF16 quality; - supports Z-Image, Flux, Qwen & Wan2.2 models with one-click switching. github.com/tritant/ComfyUI_K…
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Jett Huang retweeted
Introducing FLUX.2 [klein]. Blazing fast. Beautiful. Generate stunning images in under a second while maintaining exceptional quality. Great for fast editing, changing styles, and developing ideas from 0 → 1. Available via API, or run it locally - Klein 4B under Apache 2.0, Klein 9B as open weights. Try it for free in our demo app (link in the thread).
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very interesting
我用 Opus 4.5 编写了一个手势交互式粒子。 你可以用双手流畅的控制粒子 (three.js mediapipe) ,大家可以试一下
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A fascinating topic for AI developers or power users working with open-source models. In my personal opinion, Open Source always grants us the ability to control, steer, fine-tune, and enhance quality. With the support of Nvidia, we have seen collaborations between Nvidia x BFL and Nvidia x ComfyUI. There will be even more collaborations in the future; most recently, we obtained the open-source code from a previously closed-source project named LTX. Rest assured, the hardware giants need products from developers like us. reddit.com/r/StableDiffusion… #NanoBananaPro #OpenSource #AI
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