Instructions to use flymy-ai/qwen-image-anime-irl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flymy-ai/qwen-image-anime-irl-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("flymy-ai/qwen-image-anime-irl-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: apache-2.0 | |
| language: | |
| - en | |
| base_model: | |
| - Qwen/Qwen-Image | |
| pipeline_tag: text-to-image | |
| tags: | |
| - lora | |
| - qwen | |
| - qwen-image | |
| - anime | |
| - anime-to-real | |
| - style-transfer | |
| library_name: diffusers | |
| ## Anime in Real Life LoRA for Qwen-Image | |
| LoRA model that transforms anime-style prompts into photorealistic images for [Qwen-Image](https://huggingface.co/Qwen/Qwen-Image) | |
| trigger word: **"Real life Anime"** | |
| # π Updates | |
| # 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-ai/qwen-image-anime-irl-lora", weight_name='flymy_anime_irl.safetensors', adapter_name="lora") | |
| ``` | |
| ### π¨ Generate Anime in Real Life Images | |
| ```python | |
| prompt = '''Real life Anime in a cozy kitchen, eating noodles with chopsticks, while a curious cat looks out the window.''' | |
| negative_prompt = " " | |
| image = pipe( | |
| prompt=prompt, | |
| negative_prompt=negative_prompt, | |
| width=1024, | |
| height=1024, | |
| num_inference_steps=50, | |
| true_cfg_scale=4, | |
| generator=torch.Generator(device="cuda").manual_seed(4633346 + 2) | |
| ).images[0] | |
| # Display the image (in Jupyter or save to file) | |
| image.show() | |
| # or | |
| image.save("output.png") | |
| ``` | |
| ### πΌοΈ Sample Outputs | |
| Examples of anime characters transformed into photorealistic images: | |
| ## 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**: | |
| - 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 | |
| - 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 | |
|  | |
| ## π Anime to Real Life Examples | |
| Below are examples showing how our LoRA model transforms anime-style descriptions into photorealistic images: | |
| ### Example 1 | |
|  | |
| ### Example 2 | |
|  | |
| ### Example 3 | |
|  | |
| ## π€ Support | |
| If you have questions or suggestions, join our community: | |
| - π [FlyMy.AI](https://flymy.ai) | |
| - π¬ [Discord Community](https://discord.com/invite/t6hPBpSebw) | |
| - π¦ [Follow us on X](https://x.com/flymyai) | |
| - πΌ [Connect on LinkedIn](https://linkedin.com/company/flymyai) | |
| - π§ [Support](mailto:support@flymy.ai) | |
| **β Don't forget to star the repository if you like it!** | |
| --- | |
| license: apache-2.0 | |
| --- |