ComfyUI Tutorial Enhanced Image Editing With Qwen Edit 2511
https://youtu.be/0c76Kp0IPRg

https://redd.it/1pwtaok
@rStableDiffusion

Z-Image how to train my face for lora?

Hi to all,

Any good tutorial how to train my face in Z-Image?

https://redd.it/1pwv3sh
@rStableDiffusion

Is Qwen Image edit 2511 just better with 4-step lighting LORA?

I have been testing the FP8 version of Qwen Image Edit 2511 with the official ComfyUI workflow, and er_sde sampler and beta scheduler, and I've got mixed feelings compared to 2509 so far. When changing a single element from a base image, I've found the new version was more prone to change the overall scene (background, character's pose or face), which I consider an undesired effect. It also have a stronger blurrying that was already discussed. On a positive note, there are less occurences of ignored prompts.

Someone posted (I can't retrieve it, maybe deleted?) that moving from 4-step LORA to regular ComfyUI does not improve image quality, even going as far as to the original 40 steps CFG 4 recommendation with BF16 quantization, especially with the blur.

So I added the 4-step LORA to my workflow, and I've got better prompt comprehension and rendering in almost every testing I've done. Why is that? I always thought of these lighting lora as a fine tune to get faster generation at the expense of prompt adherence or image details. But I couldnt see these drawbacks really. What am I missing? Are there use cases for regular qwen edit with standard parameters anymore?

Now, my use of Qwen Image Edit involves mostly short prompts to change one thing of an image at a time. Maybe things are different when writing longer prompts with more details? What's your experience so far?

Now, I wont complain, it means I can have better results in shorter time. Though it makes wonder if using expensive graphic card worth it. 😁

https://redd.it/1pwtqan
@rStableDiffusion

Z-image Nunchaku is here !

https://github.com/nunchaku-tech/nunchaku/releases/tag/v1.1.0

https://redd.it/1pwyxwd
@rStableDiffusion

* Released * Qwen 2511 Edit Segment Inpaint workflow

https://redd.it/1px2jl6
@rStableDiffusion

Is there any AI upsampler that is 100% true to the low-res image?

There is a way to guarantee that an upsampled image is accurate to the low-res image: when you downsample it again, it is pixel-perfect the same. There are many possible images that have this property, including some that just look blurry. But every AI upsampler I've tried that adds in details does NOT have this property. It makes at least minor changes. Is there any I can use that I will be sure DOES have this property? I know it would have to be differently trained than they usually are. That's what I'm asking for.

https://redd.it/1px0rd7
@rStableDiffusion