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查看技能说明Fantasy Portrait
Fantasy-AMAP
FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusion Transformers
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查看技能说明Fantasy-AMAP
FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusion Transformers
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查看技能说明ziqihuangg
[SIGGRAPH Asia 2024] ReVersion: Diffusion-Based Relation Inversion from Images
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查看技能说明nxnai
[SIGGRAPH Asia 25] Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
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查看技能说明techjarves
A fully self-contained, offline AI image generation studio for Windows. Runs Stable Diffusion (Safetensors/GGUF) locally with zero manual setup. Auto-configures CUDA for…
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查看技能说明ssube
web UI for GPU-accelerated ONNX pipelines like Stable Diffusion, even on Windows and AMD
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[NeurIPS 2025] More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models
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Official Code Release for [SIGGRAPH 2024] DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
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[ICLR 2026] 🐻 Uniform Discrete Diffusion with Metric Path for Video Generation
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SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibi…
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VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
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[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators
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[ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
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[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
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查看技能说明saharmor
A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
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We present StableAvatar, the first end-to-end video diffusion transformer, which synthesizes infinite-length high-quality audio-driven avatar videos without any post-pro…
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查看技能说明ali-vilab
Official implementations for paper: DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models