--- tags: - text-to-image - lora - diffusers - template:diffusion-lora - qwen-image widget: - output: url: images/7e329cb5f01a81b72219f94f5708a4f258514e810976111fd553986c.jpg text: >- Black and white portrait of an Asian woman with dynamic hair movement,wearing a dark jacket against a light background., parameters: negative_prompt: blurry, bad faces, bad hands,worst quality, low quality, jpeg artifacts - output: url: images/d722529f47767f3b446c829aa0681f6d155643e80f92e1c62d2f7075.jpg text: >- A Polaroid style photograph with a white frame captures a vintage Hong Kong ambiance. A young woman in a red tank top and blue jeans stands in the scene. She has long black curls, red lipstick, and holds a red soda can with white text in her right hand. Her body faces left, and her gaze meets the camera with a natural expression. The dimly lit indoor setting features blue columns and softly blurred decorations behind her, enhancing the nostalgic atmosphere. parameters: negative_prompt: blurry, bad faces, bad hands,worst quality, low quality, jpeg artifacts - output: url: images/08fdaf6b644b61136340d5c908ca37993e47f34cdbe2e8e8251c4c72.jpg text: >- photo,photography,realisitc,Caucasian,fashion portrait,1girl,blue dress,standing,whole body,huge blue flowers,huge flowers,light spot,particle light,glow,depth of field level,deep mottled background, parameters: negative_prompt: blurry, bad faces, bad hands,worst quality, low quality, jpeg artifacts base_model: Qwen/Qwen-Image instance_prompt: null license: apache-2.0 language: - en library_name: diffusers --- # AWPortrait-QW
AWPortrait-QW is based on the Qwen-Image. It's trained using a training set that better reflects Chinese facial features and aesthetics. It covers a wide range of genres, including indoor and outdoor portraits, fashion, and studio portraits, ensuring strong generalization. Compared to the original Qwen-Image, AWPortrait-QW delivers a more detailed and realistic rendering of skin texture. ## Showcases ## Trigger words No trigger words are requireds. LoRA recommends a weight of 1.0. ## Inference ```python import torch from diffusers import QwenImagePipeline pipe = QwenImagePipeline.from_pretrained("Qwen/Qwen-Image", torch_dtype=torch.bfloat16) pipe.load_lora_weights("Shakker-Labs/AWPortrait-QW", weight_name="AWPortrait-QW_1.0.safetensors") pipe.fuse_lora(lora_scale=1.0) pipe.to("cuda") prompt = "Black and white portrait of an Asian woman with dynamic hair movement,wearing a dark jacket against a light background." image = pipe( prompt=prompt, negative_prompt="blurry, bad faces, bad hands, worst quality, low quality, jpeg artifacts", width=1328, height=1328, num_inference_steps=30, true_cfg_scale=4.0, generator=torch.Generator(device="cuda").manual_seed(0), ).images[0] image.save(f"example.png") ``` ## Online Inference You can also try this model on [Liblib AI](https://www.liblib.art/modelinfo/cadba03ead404ea3bc1cda3d30803d84?from=feed&versionUuid=52ac709e59be444ba5965bb73493a9db&rankExpId=RVIyX0wyI0VHMTEjRTE3X0wzI0VHMjAjRTMw). ## Acknowledgements This model is trained by our copyrighted users [DynamicWang](https://www.liblib.art/userpage/43d9ee875a6288176ac10d689a2770c7/publish). We release this model under permissions.