Qwen Image Edit 2511 Ultra Realistic Portrait
> Qwen-Image-Edit-2511-Ultra-Realistic-Portrait is an adapter LoRA developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model, designed to generate ultra-realistic glamour-style portraits with strict identity...
Source du modèle
- Type
- LoRA
- Taille du fichier
- 225 MB
- Modèle de base
- Qwen/Qwen-Image-Edit-2511
- Version
- vRevision 78ae411
- Mis à jour
- 3 oct. 2026
- Éditeur
- @prithivMLmods
- Téléchargements
- 29,2 k
- Tâches
- Édition d'image, Image en image
- Source
- Hugging Face
Description de la source
1 2
Qwen-Image-Edit-2511-Ultra-Realistic-Portrait
Qwen-Image-Edit-2511-Ultra-Realistic-Portrait is an adapter LoRA developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model, designed to generate ultra-realistic glamour-style portraits with strict identity preservation. The model focuses on high-end fashion realism by combining cinematic directional lighting, refined makeup aesthetics, and detailed epidermal textures. It enhances micropores, microhairs, subtle oil sheen, soft wrinkles, and subsurface scattering while preserving the subject’s natural facial structure and original details. Visual consistency is maintained across lighting, shadows, skin tones, and composition, delivering a luxury fashion-magazine look without artificial smoothing or excessive retouching. This makes the model well suited for premium portrait generation where realism, identity fidelity, and cinematic polish are essential. Above are example outputs demonstrating the model’s ability to produce high-quality, visually cohesive ultra-realistic portrait results.
Quick Start with Diffusers
Compatible with versions 2509 and 2511.
pip install -U diffusers transformers accelerate
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-Ultra-Realistic-Portrait")
prompt = "ultra-realistic 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]
Core Prompt
Transform the image into an ultra-realistic glamour portrait while strictly preserving the subject’s identity. Apply a close-up composition with a slight head tilt and a hand near the face, enhance cinematic directional lighting with dramatic fashion-style highlights, and refine makeup details including glowing skin, glossy lips, luminous highlighter, and defined eyes. Increase skin realism with detailed epidermal textures such as micropores, microhairs, subtle oil sheen, natural highlights, soft wrinkles, and subsurface scattering. Maintain a luxury fashion-magazine look in a 9:16 aspect ratio, preserving realism, facial structure, and original details without over-smoothing or retouching.
Trigger Prompt
Use the following prompt to activate the ultra-realistic portrait effect:
ultra-realistic portrait
Download Model
You can download the model files from the Files & versions tab: Download
Sources
1 source
Sources
1 sourceVérifié 3 oct.
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Artefacts du modèle
4 artefacts
Artefacts du modèle
4 artefactsExtraits de sources
3 extraits
Extraits de sources
3 extraits--- license: apache-2.0 language: - en base_model: - Qwen/Qwen-Image-Edit-2511 pipeline_tag: image-to-image library_name: diffusers tags: - lora - art ---   # **Qwen-Image-Edit-2511-Ultra-Realistic-Portrait** > Qwen-Image-Edit-2511-Ultra-Realistic-Portrait is an adapter LoRA developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model, designed to generate ultra-realistic glamour-style portraits with strict identity preservation. The model focuses on high-end fashion realism by combining cinematic directional lighting, refined makeup aesthetics, and detailed epidermal textures. It enhances micropores, microhairs, subtle oil sheen, soft wrinkles, and subsurface scattering while preserving the subject’s natural facial structure and original details. Visual consistency is maintained across lighting, shadows, skin tones, and composition, delivering a luxury fashion-magazine look without artificial smoothing or excessive retouching. This makes the model well suited for premium portrait generation where realism, identity fidelity, and cinematic polish are essential. Above are example outputs demonstrating the model’s ability to produce high-quality, visually cohesive ultra-realistic portrait results. ## **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-Ultra-Realistic-Portrait") prompt = "ultra-realistic 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] ``` ## **Core Prompt** ``` Transform the image into an ultra-realistic glamour portrait while strictly preserving the subject’s identity. Apply a close-up composition with a slight head tilt and a hand near the face, enhance cinematic directional lig...
Source context: 29151 downloads · 83 likes · Pipeline image-to-image · Library diffusers · Repo prithivMLmods/Qwen-Image-Edit-2511-Ultra-Realistic-Portrait
Source context: 34863 downloads · 75 likes · Pipeline image-to-image · Library diffusers · Repo prithivMLmods/Qwen-Image-Edit-2511-Ultra-Realistic-Portrait
