Surgical masking lets you preserve the original scene’s performance and image quality, keeping everything intact while only generating the new object, in this case Wolverine's mask. For this, I used Kijai’s workflow and added an input video node into the Blockify masking node with my mask. https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo_WanAnimate_preprocess_example_02.json
https://arstechnica.com/ai/2026/03/google-says-new-turboquant-compression-can-lower-ai-memory-usage-without-sacrificing-quality/
Why has no one created a QR Monster ControlNet for any of the newer models? I feel like this was the best ControlNet. Canny and depth are just not the same.
Thank you Chinese devs for providing for the community if it not for them we'll be still stuck at stable diffusion 1.5
Never forget…
Link: https://huggingface.co/Tongyi-MAI/Z-Image Comfy https://huggingface.co/Comfy-Org/z\_image/tree/main/split\_files/diffusion\_models
https://youtu.be/54IxX6FtKg8 A year ago, I never imagined I’d be able to generate a video like this on my own computer. (5070ti gpu) It’s still rough around the edges, but I wanted to share it anyway. All sound effects, excluding the background music, were generated with MMAudio, and the video was upscaled from 720p to 1080p using SeedVR2.
Workflows from the Neura Market marketplace related to this Stable Diffusion resource