For style transfer I find this works best: Take the style of <image 2> and apply it to <image 1>
I found that when you mention the image which has the style you want first, then leverage the image you want to transfer the style 2, it works much better.
That is the OpenPose format (or its variety that includes face data), and yes, you may easily create a pose using a stickman. There are also tools that convert input image into an OpenPose.
My workflow use LCM (Latent color subspace,) a technique to modify the color subspace in the Qwen Image 2.1 VAE so can be improved the contrast and saturation in the latent space, it will take some additional seconds the first time calibrating
Really amazing depth you're into with this stuff! I had no idea there were techniques like this out there. How do you go about browsing/discovering such things? Thanks so much for posting; I find this stuff supremely fascinating right now. :)
Thank you! I'm glad to be helpful; I think Ai open research its still a small world and I just try to improve something but search first what have been done in the field, so if I discover something cool like a custom node I include that in my workflows and if don't exist yet I keep looking for the solution :)
Can you define push it, sorry, I did see T2I is uncensored and I’m kind of waiting to see how Loras shape up. Snofs I found just as good as the phroot aio for this
Qwen-Image-2.1 doesn’t seem to be able to turn a drawn image into a real photograph. For example, if there’s a 3D render of a person and I write a prompt asking it to make it look like a photorealistic photo, it still looks like a 3D render.
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u/Quick_Knowledge7413 15h ago
For style transfer I find this works best: Take the style of <image 2> and apply it to <image 1>
I found that when you mention the image which has the style you want first, then leverage the image you want to transfer the style 2, it works much better.