Using Stable Diffision models for Colorization

[safshe]

Using this approach the configuration file will be not read (I will update the README). Use this command

F:\AI_Works\DiTServerRPC>.\.venv\Scripts\activate (.venv) F:\AI_Works\DiTServerRPC>cd GUI (.venv) F:\AI_Works\DiTServerRPC>python CMNET2_colorize_client_GUI.py

But as suggested in the README, it is better

Still not working. I will explain what I did . Please tell me if I am doing anything wrong.

1. First I Run the "run_server_int4.cmd" on DiTServerRPC folder and got below window

DiT Colorize RPC Server
Backend    : Nunchaku INT4
Config      : F:\AI_Works\DiTServerRPC\config\qwen_nunchaku_int4.json
Listening on: 127.0.0.1:8765
Log file    : F:\AI_Works\DiTServerRPC\dit_server.log
============================================================

2026-06-09 20:16:47,010 [INFO] module_dir            : F:\AI_Works\DiTServerRPC
2026-06-09 20:16:47,010 [INFO] dit_colorize_main.py  : found
2026-06-09 20:16:47,010 [INFO] Loading pipeline from config: F:\AI_Works\DiTServerRPC\config\qwen_nunchaku_int4.json
2026-06-09 20:16:47,010 [INFO] Loading pipeline: nunchaku-qwen int4 r32 steps=4
Loading SVDQuant INT4 transformer from: nunchaku-ai/nunchaku-qwen-image-edit-2509/lightning-251115/svdq-int4_r32-qwen-image-edit-2509-lightning-4steps-251115.safetensors
The config attributes {'pooled_projection_dim': 768} were passed to NunchakuQwenImageTransformer2DModel, but are not expected and will be ignored. Please verify your config.json configuration file.
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 50.61it/s]
Loading pipeline components...: 100%|████████████████████████████████████████████████████| 6/6 [00:01<00:00,  5.64it/s]
Optimizing VRAM ...
F:\AI_Works\DiTServerRPC\.venv\Lib\site-packages\nunchaku\models\transformers\transformer_qwenimage.py:620: UserWarning: Skipping moving the model to GPU as offload is enabled
  warn("Skipping moving the model to GPU as offload is enabled", UserWarning)
2026-06-09 20:17:13,868 [INFO] Pipeline loaded successfully.
2026-06-09 20:17:13,868 [INFO] HAVC Colorize RPC Server listening on 127.0.0.1:8765
2026-06-09 20:17:13,868 [INFO] Press Ctrl+C to stop.
2026-06-09 20:18:38,056 [INFO] Connection opened  127.0.0.1:5795



2. Then as you suggested, did below code

F:\AI_Works\DiTServerRPC>.\.venv\Scripts\activate

(.venv) F:\AI_Works\DiTServerRPC>cd GUI

(.venv) F:\AI_Works\DiTServerRPC>python CMNET2_colorize_client_GUI.py



Even tried the desktop shortcut method. Still same error