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Using Stable Diffision models for Colorization
#46
Hello Selur,

  I updated the project DiTServerRPC
  The most important change is the addition of the new model "gguf-qwen".
  Now the server can use quantized gguf models.

  Since in my knowledge the only project being able to manage properly DiT GGUF models is Comfyui, I had to develop a "comfy bridge" which incorporates the comfy code on gguf management (about 30% of total comfyui code).

  In the folder config, there are the json files with the configuration of supported gguf models.

  In this way I was able to lower the VRAM requirement to 12GB and the RAM requirement to 32GB

  Unfortunately the model "gguf-qwen" is about 3X slower that "nunchaku-qwen", but even worse in some cases spurious artifacts may appear in the colorized output that are not present in the source image and/or the colors are washed (for production, must be used nunchaku-qwen (FP4/INT4) which is not affected by such problems).

For me the problem is in the 4steps Lightning model (used in the "gguf-model") that is not so good. 
  
   I need to do more tests. But the important that now there is the GGUF support!

Dan
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RE: Using Stable Diffision models for Colorization - by Dan64 - 02.06.2026, 17:53

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