I use these different techniques for clothes swapping; which one do you think is better? I’ve shared some comparison images on Reddit(https://www.reddit.com/r/StableDiffusion/comments/1nquefe/qwenimageedit2509_vs_ace_for_clothes_swap/) to give us more options.

Download the workflow below⏬ Qwen-Image-Edit has been updated to version 2509. It now supports 1-3 input images, with improved consistency. I developed a pose transfer workflow today. Previously, pose transfer with Qwen-Edit relied on LoRA, similar to the workflow I shared earlier (https://www.skool.com/myaiforce-5872/qwen-pose-transfer-workflow?p=c0f6c63e). The previous output was a stitched image of the two input images. With Qwen-Image-Edit 2509, the new workflow can generate images with new poses, eliminating the need to crop the output and reducing the image size.

YouTube: https://youtu.be/Q-9Wbk_AX7c In this video, I demonstrate a powerful workflow that enhances AI-generated skin, turning smooth, plastic-like surfaces into realistic, detailed textures. 💆‍♀️🔍 Watch as I compare before and after images, showcasing the workflow's impact on skin appearance. 🔑 Key Workflow Stages - Stage 1: Initial Upscaling (SUPIR) - Stage 2: Skin Enhancement (SRPO Fine-Tuned Model) Join our paid group and try it free for 7 days to get the workflow: https://myaiforce.com/pg

Here's a workflow that transfers a pose from a reference image to a different portrait. The trick is using a pose transfer LoRA trained for the Qwen image edit model. LoRA: https://civitai.com/models/1959609?modelVersionId=2221229 Download the workflow for free without registration: https://www.runninghub.ai/post/1968461413134020610/?inviteCode=rh-v1241

Hey everyone, I just tested Flux Fill OneReward, and it performed much better than the Flux Fill model from Black Forest Lab. I created an outpainting workflow to compare the fp8 versions of both models. Since outpainting is more challenging than inpainting, it's a great way to quickly identify which models are more powerful. If you're interested, you can download the workflow in the attachments. You can also get the fp8 version of the OneReward model here: https://huggingface.co/yichengup/flux.1-fill-dev-OneReward/tree/main