--- title: Qwen-Image-Edit-2511-Hyper-Realistic-Portrait canonical_url: "https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-Edit-2511-Hyper-Realistic-Portrait" md_url: "https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-Edit-2511-Hyper-Realistic-Portrait.md" repository: prithivMLmods/Qwen-Image-Edit-2511-Hyper-Realistic-Portrait last_updated: 2026-06-20 license: apache-2.0 pipeline_tag: image-to-image tasks: - image-to-image base_model: - Qwen/Qwen-Image-Edit-2511 base_model_relation: adapter parameters: 471.9M tensor_type: - BF16 library_name: - pytorch - lora - safetensors frameworks: - pytorch language: - en supports_inference: img2img downloads: 362 stars: 4 tags: - lora - art --- # Qwen-Image-Edit-2511-Hyper-Realistic-Portrait > Qwen-Image-Edit-2511-Hyper-Realistic-Portrait - prithivMLmods 在 ModelScope 开源的模型。Qwen-Image-Edit-2511-Hyper-Realistic-Portrait prithivMLmods/Qwen-Image-Edit-2511-Hyper-Realistic-Portrait 是 ModelScope 魔搭社区上的 471.9M 参数image-to-image模型，采用 apache-2.0 许可，基于 Qwen/Qwen-Image-Edit-2511 构建，并支持在线推理（img2img）。 - **Repository**: prithivMLmods/Qwen-Image-Edit-2511-Hyper-Realistic-Portrait - **License**: apache-2.0 - **Tasks**: image-to-image - **Parameters**: 471.9M - **Base model**: Qwen/Qwen-Image-Edit-2511 - **Online inference**: img2img - **Tags**: lora, art - **Downloads**: 362 - **Stars**: 4 - **Last updated**: 2026-06-20 Source: https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-Edit-2511-Hyper-Realistic-Portrait --- ![1](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/nCKESlNt44m8VNaalzdEO.png) ![2](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/yzoRQlNRxX-4jU96HvDGt.png) ![3](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/8dTLq8LzPMqofwikJEUeP.png) # **Qwen-Image-Edit-2511-Hyper-Realistic-Portrait** > 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). ## **Quick Start with Diffusers** > Compatible with versions 2509 and 2511. ```bash pip install -U diffusers transformers accelerate ``` ```python import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # Switch to "mps" for Apple devices pipe = DiffusionPipeline.from_pretrained( "Qwen/Qwen-Image-Edit-2511", dtype=torch.bfloat16, device_map="cuda" ) pipe.load_lora_weights("prithivMLmods/Qwen-Image-Edit-2511-Hyper-Realistic-Portrait") prompt = "Transform into a hyper-realistic face portrait." input_image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png" ) image = pipe(image=input_image, prompt=prompt).images[0] ``` **Trained on [ModelScope.cn](https://modelscope.cn)** > Recommended: HRP_20.safetensors ## **Core Prompt** ``` Transform the image into an ultra-realistic photorealistic portrait with strict identity preservation, facing straight to the camera. Enhance pore-level skin textures, realistic moisture effects, and natural wet hair clumping against the skin. Apply cool-toned soft-box lighting with subtle highlights and shadows, maintain realistic green-hazel eye catchlights without synthetic gloss, and preserve soft natural lip texture. Use shallow depth of field with a clean bokeh background, an 85mm macro photographic look, and raw photo grading without retouching to maintain realism and original details. ``` ## **Trigger Prompt** Use the following prompt to activate the hyper-realistic portrait effect: ``` Transform into a hyper-realistic face portrait ``` ## **Download Model** You can download the model files from the **Files & versions** tab: [Download](https://huggingface.co/prithivMLmods/Qwen-Image-Edit-2511-Hyper-Realistic-Portrait/tree/main) --- ## **reusable JSON** ```json { "portrait_config": { "version": "1.0", "mode": "hyper_realistic_transformation", "aspect_ratio": "3:4" }, "identity_preservation": { "reference_source": "uploaded_image", "matching_strength": 1.0, "facial_structure_lock": true, "feature_fidelity": "maximum" }, "skin_rendering": { "texture_level": "pore_resolution", "detail_maps": [ "micro_texture", "subsurface_scattering", "natural_imperfections" ], "finish": "matte_natural", "post_processing": "no_airbrushing" }, "facial_features": { "eyes": { "color_mode": "preserve_natural", "enhancements": { "catchlights": "realistic_reflections", "iris_detail": "high", "clarity": "sharp" }, "constraints": ["no_synthetic_gloss", "natural_moisture_only"] }, "lips": { "texture": "natural_ridges", "moisture": "soft_gloss", "state": "slightly_parted", "detail": "fine_lines_visible" }, "hair": { "state": "wet_saturated", "behavior": "natural_clumping", "strand_separation": true, "adherence": ["forehead", "temples", "neck"] } }, "environmental_effects": { "moisture": { "sweat_layer": { "coverage": ["nose_bridge", "forehead", "upper_lip"], "intensity": "fine_mist", "appearance": "glistening" }, "water_droplets": { "size": "micro", "distribution": ["cheekbones", "jawline", "temple"], "surface_tension": "realistic" } } }, "lighting_setup": { "primary_light": { "type": "softbox_diffusion", "angle": 45, "intensity": "medium_high" }, "color_temperature": "cool", "palette": { "primary": ["steel_blue", "soft_cyan"], "secondary": ["natural_skin_tones"], "accents": ["white", "light_grey"] }, "shadows": { "softness": "high", "fill_ratio": 0.6 } }, "background": { "style": "minimalist_bokeh", "depth_of_field": "shallow", "colors": ["light_grey", "pure_white"], "blur_intensity": "high" }, "camera_simulation": { "focal_length": "85mm", "aperture": "f/2.0", "focus": "eyes", "sensor_type": "full_frame", "style": "raw_photography" }, "render_settings": { "engine": "photorealistic_cgi", "quality": "maximum", "anti_aliasing": "high", "color_depth": "16bit", "output_format": "uncompressed" }, "constraints": { "no_artificial_smoothing": true, "preserve_natural_imperfections": true, "avoid_over_saturation": true, "maintain_realistic_proportions": true } } ``` ## **reusable PROMPT** > Transform the image into an ultra-realistic photorealistic portrait with strict identity preservation, facing straight to the camera. Enhance pore-level skin textures, realistic moisture effects, and natural wet hair clumping against the skin. Apply cool-toned soft-box lighting with subtle highlights and shadows, maintain realistic green-hazel eye catchlights without synthetic gloss, and preserve soft natural lip texture. Use shallow depth of field with a clean bokeh background, an 85mm macro photographic look, and raw photo grading without retouching to maintain realism and original details.