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Qwen Image 2512
👀361Generate high‑quality images from detailed text prompts
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Qwen Image Edit 2511
🏆383Edit images with AI based on your text instructions
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Qwen Image Layered
🚀502Decompose images into editable layers and download them
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Qwen Image Edit 2509
👀321Edit images based on natural language instructions
Collections
Discover the best community collections!
Collections including paper arxiv:2512.15603
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LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 7 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 24 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 15 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 10 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 18 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 62 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
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BrushEdit: All-In-One Image Inpainting and Editing
Paper • 2412.10316 • Published • 36 -
ColorFlow: Retrieval-Augmented Image Sequence Colorization
Paper • 2412.11815 • Published • 26 -
FluxSpace: Disentangled Semantic Editing in Rectified Flow Transformers
Paper • 2412.09611 • Published • 11 -
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Paper • 2412.07517 • Published • 11
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
-
Qwen Image 2512
👀361Generate high‑quality images from detailed text prompts
-
Qwen Image Edit 2511
🏆383Edit images with AI based on your text instructions
-
Qwen Image Layered
🚀502Decompose images into editable layers and download them
-
Qwen Image Edit 2509
👀321Edit images based on natural language instructions
-
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 10 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 18 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 62 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
-
BrushEdit: All-In-One Image Inpainting and Editing
Paper • 2412.10316 • Published • 36 -
ColorFlow: Retrieval-Augmented Image Sequence Colorization
Paper • 2412.11815 • Published • 26 -
FluxSpace: Disentangled Semantic Editing in Rectified Flow Transformers
Paper • 2412.09611 • Published • 11 -
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Paper • 2412.07517 • Published • 11
-
LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 7 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 24 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 15 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 30 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23