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84,991 개 모델13202 개 제공사 / 게시자45 개 기능 분류465개 비교 가능 요금 · 30개 공개 평가
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Qwen-Image-2.1-Natural-Exposure-LoRA is a LoRA adapter for Qwen-Image-2.1, designed to transform images with balanced, neutral exposure while preserving natural colors, details, lighting, and overall image consistency. > [!NOTE] > This is an experimental preview model. Results may vary depending on the input image, lighting conditions, and overall image composition. * **Base Model:** Qwen/Qwen-Image-2.1 * **Adapter:** `Qwen-Image-2.1-Natural-Exposure-LoRA` * **Model Type:** LoRA / Adapter * **Model Status:** Preview / Experimental * **Created by:** prithivMLmods

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> **Qwen-Image-2.1-PE-I2I** is an image-editing prompt rewriting model for Qwen-Image-2.1, a fine-tuned Qwen3.5-VL-9B that takes a vague editing instruction plus one or more input images and expands it into a precise, actionable prompt suitable for downstream image editing. It supports multi-image inputs (referenced as ` `, ` `, etc.) for tasks like compositing a subject from one image into another's scene, reasons through a ` ` block before outputting a structured JSON result containing the rewritten prompt plus either a `wh_ratio` (new aspect ratio for compositions) or `ratio_follow` (inherited aspect ratio for in-place edits) — the two fields being mutually exclusive. The rewritten prompt is designed to feed directly into the Qwen-Image-2.1 diffusion pipeline via Diffusers for the actual image edit, and the model is loaded through standard Transformers (`AutoModelForImageTextToText`) with a system prompt shipped alongside the checkpoint; it's released under the Qwen Research License Agreement. > [!NOTE] System Prompt — https://huggingface.co/Qwen/Qwen-Image-2.1-PE-I2I/blob/main/system_prompt.txt File Name | Quant Type | File Size | File Link | |-----------|------------|-----------|-----------| | Qwen-Image-2.1-PE-I2I.BF16.gguf | BF16 | 17.9 GB | Download | | Qwen-Image-2.1-PE-I2I.Q3_K_L.gguf | Q3_K_L | 4.93 GB | Download | | Qwen-Image-2.1-PE-I2I.Q3_K_M.gguf | Q3_K_M | 4.62 GB | Download | | Qwen-Image-2.1-PE-I2I.Q4_K_M.gguf | Q4_K_M | 5.63 GB | Download | | Qwen-Image-2.1-PE-I2I.Q4_K_S.gguf | Q4_K_S | 5.35 GB | Download | | Qwen-Image-2.1-PE-I2I.Q5_K_M.gguf | Q5_K_M | 6.47 GB | Download | | Qwen-Image-2.1-PE-I2I.Q5_K_S.gguf | Q5_K_S | 6.31 GB | Download | | Qwen-Image-2.1-PE-I2I.mmproj-bf16.gguf | mmproj-bf16 | 922 MB | Download |

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> **Qwen-Image-2.1-PE-T2I** is the text-to-image prompt-rewriting model for Qwen-Image-2.1, a fine-tuned Qwen3.5-VL-9B that turns a brief image request in any language into a detailed, expanded English prompt paired with a recommended aspect ratio, acting as the bridge between casual multilingual user requests (e.g., a short Chinese phrase describing a corgi playing guitar in the rain) and the precise, richly-detailed instructions the downstream 7B-parameter DiT-based Qwen-Image-2.1 generator needs for best results. After a ` ` reasoning block, it outputs a structured JSON object containing the `rewritten_prompt` and a `wh_ratio` value (e.g., `16:9`), which maps directly to standard render resolutions when passed into the Diffusers `QwenImage21Pipeline`. It's usable via standard Hugging Face `AutoModelForCausalLM` loading, is intended purely as a preprocessing step ahead of image generation rather than a general-purpose chat model, and is released under the Qwen Research License Agreement. > [!NOTE] System Prompt — https://huggingface.co/Qwen/Qwen-Image-2.1-PE-T2I/blob/main/system_prompt.txt File Name | Quant Type | File Size | File Link | |-----------|------------|-----------|-----------| | Qwen-Image-2.1-PE-T2I.BF16.gguf | BF16 | 17.9 GB | Download | | Qwen-Image-2.1-PE-T2I.Q3_K_L.gguf | Q3_K_L | 4.93 GB | Download | | Qwen-Image-2.1-PE-T2I.Q3_K_M.gguf | Q3_K_M | 4.62 GB | Download | | Qwen-Image-2.1-PE-T2I.Q4_K_M.gguf | Q4_K_M | 5.63 GB | Download | | Qwen-Image-2.1-PE-T2I.Q4_K_S.gguf | Q4_K_S | 5.35 GB | Download | | Qwen-Image-2.1-PE-T2I.Q5_K_M.gguf | Q5_K_M | 6.47 GB | Download | | Qwen-Image-2.1-PE-T2I.Q5_K_S.gguf | Q5_K_S | 6.31 GB | Download |

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> Qwen-Image-Edit-2511-Hyper-Realistic-Portrait is an adapter LoRA developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model, specifically designed to transform images into ultra-realistic, photorealistic face portraits with strict identity preservation. The model enhances pore-level skin textures, realistic moisture effects, and natural wet hair clumping while preserving original facial structure and details. It applies physically plausible lighting, natural eye reflections, and shallow depth of field to achieve a true photographic look without artificial smoothing or retouching. Strong visual consistency is maintained across lighting, shadows, color tones, and composition, ensuring results remain authentic and camera-realistic. This makes the model well suited for high-fidelity portrait generation where realism and identity accuracy are critical. Above are example outputs demonstrating the model’s ability to deliver high-quality, visually cohesive hyper-realistic portrait results. > [!important] Note: The face identity in the input image used for inference should be well defined to accurately reproduce a Hyper-Realistic Portrait (HRP). You can download the model files from the **Files & versions** tab: Download

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> Qwen-Image-Edit-2511-Object-Adder is an adapter (LoRA) developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model, specifically designed for precise object addition to images. The model adds specified objects while preserving the background, lighting, and surrounding elements, maintaining realism and original visual details. It can be used in combination with the lighting model configured with 4 steps to produce high-quality, high-resolution results. A key strength of this model is its strong consistency during image editing, ensuring that surrounding textures, lighting, shadows, and scene structure remain intact after object addition. This makes it well suited for tasks that require seamless edits without compromising image authenticity. Below are some example outputs that demonstrate the model’s ability to deliver accurate, realistic, and visually integrated object addition results.

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> Qwen-Image-Edit-2511-Object-Remover is an adapter (LoRA) developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model, specifically designed for precise object removal from images. The model removes specified objects while preserving the background and remaining elements, maintaining realism and original visual details. It can be used in combination with the lighting model configured with 4 steps to produce high-quality, high-resolution results. A key strength of this model is its strong consistency during image editing, ensuring that surrounding textures, lighting, shadows, and scene structure remain intact after object removal. This makes it well suited for tasks that require clean edits without compromising image authenticity. Below are some example outputs that demonstrate the model’s ability to deliver accurate, realistic, and visually seamless object removal results.

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