--- 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 # ๐Ÿ“ 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 # ๐Ÿงช Usage --- ### ๐Ÿ”ง 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) ``` ### ๐Ÿ”Œ Load LoRA Weights ```python # Load LoRA weights pipe.load_lora_weights('flymy_realism.safetensors', adapter_name="lora") ``` ### ๐ŸŽจ 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") ``` ### ๐Ÿ–ผ๏ธ Sample Output ![Sample Output](./assets/flymy_realism.png) ## ๐ŸŽ›๏ธ 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 - โœ… Pre-configured for Qwen-Image + LoRA inference - โœ… Optimized settings for best quality output - โœ… Easy prompt and parameter adjustment - โœ… 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. ### ๐Ÿ–ผ๏ธ Workflow Screenshot ![ComfyUI Workflow](./assets/comfyui_workflow.png) ## ๐Ÿ“Š 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) ## ๐Ÿค Support If you have questions or suggestions, join our community: - ๐ŸŒ [FlyMy.AI](https://flymy.ai) - ๐Ÿ’ฌ [Discord Community](https://discord.com/invite/t6hPBpSebw) - ๐Ÿฆ [Follow us on X](https://x.com/flymyai) - ๐Ÿ’ผ [Connect on LinkedIn](https://linkedin.com/company/flymyai) - ๐Ÿ“ง [Support](mailto:support@flymy.ai) **โญ Don't forget to star the repository if you like it!** --- license: apache-2.0 ---