Qwen Image Realism LoRA
Enhanced facial detail quality: Improved fine-grained facial features and skin texture rendering Better color reproduction: More accurate and vibrant color representation across all scenes Improved lighting and...
Model source
- Kind
- UNet
- File size
- 90.1 MB
- Base model
- Qwen/Qwen-Image
- Version
- vBF16
- Updated
- Nov 4, 2026
- Source
- Hugging Face
Source description
LORA Qwen-Image example
Lora for Qwen-Image
Realism word required
π Updates
August 13, 2025 - Realism v1.1 Release
- Enhanced facial detail quality: Improved fine-grained facial features and skin texture rendering
- Better color reproduction: More accurate and vibrant color representation across all scenes
- Improved lighting and shadows for landscapes: Enhanced natural lighting effects and shadow detail in outdoor scenes
- Increased diversity across different ethnicities: Better representation and quality for various racial and ethnic features
π§ͺ Usage
π§ Initialization
from diffusers import DiffusionPipeline
import torch
model_name = "Qwen/Qwen-Image"
# Load the pipeline
if torch.cuda.is_available():
torch_dtype = torch.bfloat16
device = "cuda"
else:
torch_dtype = torch.float32
device = "cpu"
pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)
π Load LoRA Weights
# Load LoRA weights
pipe.load_lora_weights('flymy_realism.safetensors', adapter_name="lora")
π¨ Generate Image with lora trained on person
prompt = '''Super Realism portrait of a teenager woman of African descent, serene calmness, arms crossed, illuminated by dramatic studio lighting, sunlit park in the background, adorned with delicate jewelry, three-quarter view, sun-kissed skin with natural imperfections, loose shoulder-length curls, slightly squinting eyes, environmental street portrait with text "FLYMY AI" on t-shirt.'''
negative_prompt = " "
image = pipe(
prompt=prompt,
negative_prompt=negative_prompt,
width=1024,
height=1024,
num_inference_steps=50,
true_cfg_scale=5,
generator=torch.Generator(device="cuda").manual_seed(346346)
)
# Display the image (in Jupyter or save to file)
image.show()
# or
image.save("output.png")
πΌοΈ Sample Output
Sample Output
ποΈ Using with ComfyUI
We provide a ready-to-use ComfyUI workflow that works with our trained LoRA models. Follow these steps to set up and use the workflow:
Setup Instructions
-
Download the latest ComfyUI:
- Visit the ComfyUI GitHub repository
- Clone or download the latest version
-
Install ComfyUI:
- Follow the installation instructions from the ComfyUI repository
- Make sure all dependencies are properly installed
-
Download Qwen-Image model weights:
- Go to Qwen-Image ComfyUI weights
- Download all the model files
-
Place Qwen-Image weights in ComfyUI:
- Copy the downloaded Qwen-Image model files to the appropriate folders in
ComfyUI/models/ - Follow the folder structure as specified in the model repository
- Copy the downloaded Qwen-Image model files to the appropriate folders in
-
Download our pre-trained LoRA weights:
- Visit flymy-ai/qwen-image-lora
- Download the LoRA
.safetensorsfiles
-
Place LoRA weights in ComfyUI:
- Copy the LoRA file
flymy-ai/qwen-image-lora/pytorch_lora_weights.safetensorstoComfyUI/models/loras/
- Copy the LoRA file
-
Load the workflow:
- Open ComfyUI in your browser
- Load the workflow file
qwen_image_lora_example.jsonlocated in this repository - The workflow is pre-configured to work with our LoRA models
Workflow Features
- β Pre-configured for Qwen-Image + LoRA inference
- β Optimized settings for best quality output
- β Easy prompt and parameter adjustment
- β Compatible with all our trained LoRA models
The ComfyUI workflow provides a user-friendly interface for generating images with our trained LoRA models without needing to write Python code.
πΌοΈ Workflow Screenshot
ComfyUI Workflow
π Side-by-Side Comparisons
Below are comparison images showing the improvements of our LoRA model across different scenarios:
Mountain Landscape
Prompt: "realism, mountain landscape at golden hour, low sun grazing alpine meadows, crisp ridgelines, thin mist in valley, high dynamic range sky, 24mm f/8, ISO 100, tripod, ultra-sharp foreground grass, micro-contrast on rocks"
Mountain Landscape Comparison
Rainy Night City Scene
Prompt: "realism, rainy night city scene with neon reflections, person holding a transparent umbrella, water droplets sharp on umbrella surface, shallow DOF, 55mm f/1.8, ISO 1600, blue and magenta neon, storefront sign reads "OPEN 24/7""
Rainy Night City Comparison
Athletic Motion
Prompt: "realism, athlete mid-sprint on track, strong sunlight, backlit dust particles, frozen motion at 1/2000s, 200mm f/2.8, ISO 400, muscle definition and sweat droplets detailed, stadium banner says "FINALS""
Athletic Motion Comparison
Corporate Portrait
Prompt: "realism, corporate headshot of a CTO in glass-walled office, city skyline bokeh, balanced key/fill lighting, 85mm f/2, ISO 100, crisp lapel and hair detail, subtle reflection on glasses"
Corporate Portrait Comparison
π€ Support
If you have questions or suggestions, join our community:
- π FlyMy.AI
- π¬ Discord Community
- π¦ Follow us on X
- πΌ Connect on LinkedIn
- π§ Support
β Don't forget to star the repository if you like it!
license: apache-2.0
Sources
1 source
Sources
1 sourceVerified Nov 4
Model artifacts
1 artifact
Model artifacts
1 artifactflymy_realism.safetensors
safetensors Β· BF16 (tensor header) Β· 90.1 MB Β· SHA-256 f78ebf393813β¦ccc8 Β· Hugging Face
Download fileSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: apache-2.0 language: - en base_model: - Qwen/Qwen-Image pipeline_tag: text-to-image tags: - lora - qwen - qwen-image - realism - realism-lora library_name: diffusers --- ## LORA Qwen-Image example Lora for [Qwen-Image](https://huggingface.co/Qwen/Qwen-Image) **Realism** word required # π Updates ## August 13, 2025 - Realism v1.1 Release - **Enhanced facial detail quality**: Improved fine-grained facial features and skin texture rendering - **Better color reproduction**: More accurate and vibrant color representation across all scenes - **Improved lighting and shadows for landscapes**: Enhanced natural lighting effects and shadow detail in outdoor scenes - **Increased diversity across different ethnicities**: Better representation and quality for various racial and ethnic features # π§ͺ Usage --- ### π§ Initialization ```python from diffusers import DiffusionPipeline import torch model_name = "Qwen/Qwen-Image" # Load the pipeline if torch.cuda.is_available(): torch_dtype = torch.bfloat16 device = "cuda" else: torch_dtype = torch.float32 device = "cpu" pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype) pipe = pipe.to(device) ``` ### π Load LoRA Weights ```python # Load LoRA weights pipe.load_lora_weights('flymy_realism.safetensors', adapter_name="lora") ``` ### π¨ Generate Image with lora trained on person ```python prompt = '''Super Realism portrait of a teenager woman of African descent, serene calmness, arms crossed, illuminated by dramatic studio lighting, sunlit park in the background, adorned with delicate jewelry, three-quarter view, sun-kissed skin with natural imperfections, loose shoulder-length curls, slightly squinting eyes, environmental street portrait with text "FLYMY AI" on t-shirt.''' negative_prompt = " " image = pipe( prompt=prompt, negative_prompt=negative_prompt, width=1024, height=1024, num_inference_steps=50, true_cfg_scale=5, generator=torch.Generator(device="cuda").manual_seed(346346) ) # Display the image (in Jupyter or save to file) image.show() # or image.save("output.png") ``` ### πΌοΈ Sample Output  ## ποΈ Using with ComfyUI We provide a ready-to-use ComfyUI workflow that works with our trained LoRA models. Follow these steps to set up and use the workflow: ### Setup Instructions 1. **Download the latest ComfyUI**:...
Source context: 3467 downloads Β· 140 likes Β· Pipeline text-to-image Β· Library diffusers Β· Repo flymy-ai/qwen-image-realism-lora
