Hello everyone,
This collection consists of pose reference images that I've been using for generating pictures.
All of these images are meant to be used with ControlNet.
OpenPose performs very well with SD1.5 models, while its performance with XL, PONY, and Illustrious models is slightly weaker. For front-facing poses, OpenPose tends to work better. Additionally, OpenPose adapts more effectively to different characters and clothing styles compared to other control methods.
Depth is my primary go-to, especially for complex poses, perspective shots, and compositions with strong visual tension. Depth tends to be more accurate and easier to control than OpenPose in these scenarios. However, one drawback of Depth is that it struggles with intricate character clothing. To address this, I currently rely on inpainting or local redrawing to refine the results.
For now, I’ve temporarily set aside using Lineart, as it doesn’t offer the precise control of Depth nor the multi-character and clothing adaptability of OpenPose. Therefore, I currently recommend sticking with these two methods.
Please use the prompts from each image's filename to generate your images. These prompts will help the model understand and produce more accurate results.
Also, all my images are sized at 768x1152. Some poses may actually work better in a 1024x1024 format, so feel free to crop and upscale them as needed.
I’ll be updating this collection regularly and I welcome everyone to use these poses and share your valuable feedback with me!
Have Fun!!!
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Comments (5)
Dude !
Thank you so so so much for this and the other Collection as well .
The best is yet to come. Thanks for your support!
有适合光辉底模使用的ControlNet openpose模型推荐吗?我自带的都是1.5的,根本用不了QAQ
去报脸上面下载。光辉用的就是XL的模型。
https://huggingface.co/thibaud/controlnet-openpose-sdxl-1.0
https://huggingface.co/xinsir/controlnet-openpose-sdxl-1.0
这两个我会混着用,不同姿势有好有坏。
另外我现在基本都是用depth去控制姿势,比openpose准确多了。
但是depth非常吃轮廓,我出的包里面脚部都是贴身的depth,对于长裙子或者外套会差一点,这个就需要你们自己额外处理一下或者DIY了。
https://huggingface.co/diffusers/controlnet-depth-sdxl-1.0
@affa1988 谢谢



















