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---
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
# 📝 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
# 🧪 Usage
---
### 🔧 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)
```
### 🔌 Load LoRA Weights
```python
# Load LoRA weights
pipe.load_lora_weights('flymy_realism.safetensors', adapter_name="lora")
```
### 🎨 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")
```
### 🖼️ Sample Output
![Sample Output](./assets/flymy_realism.png)
## 🎛️ 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**:
- Visit the [ComfyUI GitHub repository](https://github.com/comfyanonymous/ComfyUI)
- Clone or download the latest version
2. **Install ComfyUI**:
- Follow the installation instructions from the [ComfyUI repository](https://github.com/comfyanonymous/ComfyUI?tab=readme-ov-file#installing)
- Make sure all dependencies are properly installed
3. **Download Qwen-Image model weights**:
- Go to [Qwen-Image ComfyUI weights](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main)
- Download all the model files
4. **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
5. **Download our pre-trained LoRA weights**:
- Visit [flymy-ai/qwen-image-lora](https://huggingface.co/flymy-ai/qwen-image-lora)
- Download the LoRA `.safetensors` files
6. **Place LoRA weights in ComfyUI**:
- Copy the LoRA file `flymy-ai/qwen-image-lora/pytorch_lora_weights.safetensors` to `ComfyUI/models/loras/`
7. **Load the workflow**:
- Open ComfyUI in your browser
- Load the workflow file `qwen_image_lora_example.json` located in this repository
- The workflow is pre-configured to work with our LoRA models
### Workflow Features
- ✅ Pre-configured for Qwen-Image + LoRA inference
- ✅ Optimized settings for best quality output
- ✅ Easy prompt and parameter adjustment
- ✅ 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.
### 🖼️ Workflow Screenshot
![ComfyUI Workflow](./assets/comfyui_workflow.png)
## 📊 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](./assets/prompt_004_comparison.png)
### 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](./assets/prompt_006_comparison.png)
### 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](./assets/prompt_010_comparison.png)
### 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](./assets/prompt_013_comparison.png)
## 🤝 Support
If you have questions or suggestions, join our community:
- 🌐 [FlyMy.AI](https://flymy.ai)
- 💬 [Discord Community](https://discord.com/invite/t6hPBpSebw)
- 🐦 [Follow us on X](https://x.com/flymyai)
- 💼 [Connect on LinkedIn](https://linkedin.com/company/flymyai)
- 📧 [Support](mailto:[email protected])
**⭐ Don't forget to star the repository if you like it!**
---
license: apache-2.0
---