<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Diffusion-Models on Noureddine RAMDI</title><link>https://ramdi.fr/tags/diffusion-models/</link><description>Recent content in Diffusion-Models on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/diffusion-models/index.xml" rel="self" type="application/rss+xml"/><item><title>Lynx: modular personalized video generation with dual adapters on a frozen diffusion transformer</title><link>https://ramdi.fr/github-stars/lynx-modular-personalized-video-generation-with-dual-adapters-on-a-frozen-diffusion-transformer/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/lynx-modular-personalized-video-generation-with-dual-adapters-on-a-frozen-diffusion-transformer/</guid><description>Lynx generates personalized videos from a single image using a frozen Diffusion Transformer with ID and Ref adapters. This modular design balances fidelity and efficiency.</description></item><item><title>PartCrafter: compositional 3D mesh generation with latent diffusion transformers</title><link>https://ramdi.fr/github-stars/partcrafter-compositional-3d-mesh-generation-with-latent-diffusion-transformers/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/partcrafter-compositional-3d-mesh-generation-with-latent-diffusion-transformers/</guid><description>PartCrafter generates multiple semantically distinct 3D mesh parts from a single RGB image using latent diffusion transformers, enabling structured 3D generation with pretrained models and VLM-based part suggestions.</description></item><item><title>SVFR: unified video face restoration with task-conditioned stable video diffusion</title><link>https://ramdi.fr/github-stars/svfr-unified-video-face-restoration-with-task-conditioned-stable-video-diffusion/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/svfr-unified-video-face-restoration-with-task-conditioned-stable-video-diffusion/</guid><description>SVFR combines blind face restoration, colorization, and inpainting in a single stable video diffusion model, enabling efficient multi-task video face enhancement.</description></item><item><title>ComfyUI Trellis2: Extending ComfyUI with Dinov3 for 3D-Aware Diffusion Workflows</title><link>https://ramdi.fr/github-stars/comfyui-trellis2-extending-comfyui-with-dinov3-for-3d-aware-diffusion-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/comfyui-trellis2-extending-comfyui-with-dinov3-for-3d-aware-diffusion-workflows/</guid><description>ComfyUI-Trellis2 integrates facebook&amp;rsquo;s Dinov3 model into ComfyUI for advanced 3D-aware diffusion workflows. This article breaks down its architecture, strengths, and installation steps.</description></item><item><title>Matrix-3D: a practical pipeline for omnidirectional 3D world generation optimized for consumer GPUs</title><link>https://ramdi.fr/github-stars/matrix-3d-a-practical-pipeline-for-omnidirectional-3d-world-generation-optimized-for-consumer-gpus/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/matrix-3d-a-practical-pipeline-for-omnidirectional-3d-world-generation-optimized-for-consumer-gpus/</guid><description>Matrix-3D generates explorable 360-degree 3D worlds from text or images using panoramic video and 3D Gaussian splatting, optimized to run on 12-19GB VRAM consumer GPUs.</description></item><item><title>MeanVC: real-time zero-shot voice conversion with mean flows and diffusion transformers</title><link>https://ramdi.fr/github-stars/meanvc-real-time-zero-shot-voice-conversion-with-mean-flows-and-diffusion-transformers/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/meanvc-real-time-zero-shot-voice-conversion-with-mean-flows-and-diffusion-transformers/</guid><description>MeanVC enables real-time zero-shot voice conversion using mean flows and diffusion transformers for single-step inference, addressing latency bottlenecks in diffusion models.</description></item><item><title>Avatar Forcing: real-time multimodal head avatar generation with diffusion forcing</title><link>https://ramdi.fr/github-stars/avatar-forcing-real-time-multimodal-head-avatar-generation-with-diffusion-forcing/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/avatar-forcing-real-time-multimodal-head-avatar-generation-with-diffusion-forcing/</guid><description>Avatar Forcing implements diffusion forcing for causal, real-time multimodal input processing enabling expressive head avatars with ~500ms latency and 6.8X speedup over baselines.</description></item><item><title>ComfyUI: modular visual workflows for diffusion model experimentation</title><link>https://ramdi.fr/github-stars/comfyui-modular-visual-workflows-for-diffusion-model-experimentation/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/comfyui-modular-visual-workflows-for-diffusion-model-experimentation/</guid><description>ComfyUI offers a graph/node interface for building complex diffusion model workflows offline, blending modularity with flexibility for AI practitioners.</description></item></channel></rss>