V1.1Updated the dataset generation prompts to improve variation across facial expressions, lighting, camera angles, poses, and perspectives instead of keeping the face too close to the original reference expression.I also simplified the reference-image setup:<ul><li>Select A for 1 reference image</li><li>Select B for 2 reference images</li></ul>On my RTX 5080, generating 20 images with 1 reference image of around 1 MB took roughly 10 minutes.Overall, V1.1 should produce a more diverse and useful dataset for LoRA training, with stronger variation in expressions, lighting, poses, and viewpoints while still preserving the subject's identity.Change max rows to 25 if u want 25 images and you can always change the prompts send the prompt used to chatgpt or somewhere u like to get full body shots or different styles ------------------------------------- Qwen-Image 2.1 Dataset Generation Workflow This is an updated/adapted version of an existing dataset-generation workflow originally created by <a target="_blank" rel="ugc" href="https://www.reddit.com/r/comfyui/comments/1o6xgqk/free_face_dataset_generation_workflow_for_lora/">acekiube</a>. Full credit for the original workflow structure and idea goes to them. I did not create the workflow from scratch. I modified the workflow to work with Qwen-Image 2.1, updated the model/encoder nodes, generation settings, resolution handling, and prompts for identity-focused dataset generation. The goal is to take a reference character/person and automatically generate a set of useful training images with different viewpoints, expressions, camera angles, and lighting while keeping the identity as consistent as possible. I’ve personally had better identity consistency around CFG 3, especially for side/profile views. The workflow is currently set to CFG 3, 25 steps, <code>res_multistep</code>, and a 3:4 1MP output. I’m also experimenting with giving Qwen additional reference views, such as a side-profile image, since this seems to help significantly when generating difficult angles.If you got better prompt or settings please let me know Models used: Qwen2.1 int8 convrot: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_int8_convrot.safetensors">https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_int8_convrot.safetensors</a> Text Encoder: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/text_encoders/qwen3vl_8b_int8_convrot.safetensors">https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/text_encoders/qwen3vl_8b_int8_convrot.safetensors</a> Vae: <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/vae/qwen_image_2.1_vae_bf16.safetensors">https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/vae/qwen_image_2.1_vae_bf16.safetensors</a>

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