Prioritize Qwen3.6 API models and mark legacy Qwen models with deprecation notices.

Author: kantan-kanto

README.md

@@ -11,6 +11,13 @@ Supports **local LLM / local GGUF models** (Qwen2.5-VL, Qwen3-VL, Qwen3.5 and Qw
 
 The following notes are intended for existing users upgrading to `1.0.11`.
 
+### Qwen API model list updated for Model Studio deprecation notices
+Cloud API model selection now prioritizes Qwen3.6 models, including `qwen3.6-plus` and `qwen3.6-flash`.
+Older API models remain selectable for existing workflow compatibility, but are marked as deprecated in the UI:
+- `deprecated: announced offline since 2026-05-13` for models already announced as offline.
+- `deprecated: offline scheduled 2026-07-13` for models announced for the July 13, 2026 offline window.
+- `deprecated: legacy, prefer Qwen3.6` for legacy models kept for compatibility.
+
 ### Expanded search paths for local Qwen-family GGUF models
 In addition to `models/LLM`, this release now searches `models/text_encoders` and its subdirectories for GGUF files. Because this changes how model paths are handled internally, you may need to reselect your models the first time you run the node after updating.
 
@@ -177,7 +184,7 @@ Add your Alibaba Cloud Dashscope API key to this file.
 - `target_language`: Output language (auto/zh/en)
 - `llm_model`: Model selection
   - `Local: xxx`: Local GGUF models (auto-detected)
-  - API models: qwen-vl-max, qwen-plus, etc.
+  - API models: qwen3.6-plus, qwen3.6-flash, etc.
 - `mmproj`: mmproj file (required for local models)
   - `(Auto-detect)`: Automatic detection
   - `(Not required)`: For API models or text-only mode 
@@ -208,7 +215,7 @@ Add your Alibaba Cloud Dashscope API key to this file.
 - `target_language`: Output language (auto/zh/en)
 - `llm_model`: Model selection
   - `Local: xxx`: Local GGUF models
-  - API models: qwen-vl-max (for I2V), qwen-plus, etc.
+  - API models: qwen3.6-plus, qwen3.6-flash, etc.
 - `mmproj`: mmproj selection (same as other nodes)
 - `max_retries`: API retry attempts
 - `device`: CPU/GPU for local models
@@ -224,7 +231,7 @@ Add your Alibaba Cloud Dashscope API key to this file.
 **Important notes:**
 - **Use Chinese prompts** (`target_language: zh`) for best results
 - Supports up to 600+ Chinese characters (2048 tokens)
-- For I2V tasks, use `qwen-vl-*` models
+- For I2V tasks, use Qwen3.6 or `qwen-vl-*` models
 
 **Example T2V workflow:**
 1. Enter prompt: "A cat looking out from a windowsill"
@@ -238,7 +245,7 @@ Add your Alibaba Cloud Dashscope API key to this file.
 2. Enter motion description: "The camera slowly pushes in"
 3. Set `task_type`: Image-to-Video
 4. Set `target_language`: zh
-5. Ensure model supports vision (qwen-vl-*)
+5. Ensure model supports vision (Qwen3.6 or qwen-vl-*)
 6. Run to get I2V prompt
 
 ---

qwen_nodes.py

@@ -50,6 +50,51 @@
 
 key_path = os.path.join(folder_paths.get_folder_paths("custom_nodes")[0], "ComfyUI-MultiModal-Prompt-Nodes", "api_key.txt")
 
+QWEN_API_MAIN_MODELS = [
+    "qwen3.6-plus",
+    "qwen3.6-flash",
+    "qwen3.6-plus-2026-04-02",
+    "qwen3.6-flash-2026-04-16",
+    "qwen3.6-35b-a3b",
+]
+
+QWEN_API_OFFLINE_SINCE_2026_05_13 = [
+    "qwen-vl-max-latest",
+    "qwen-vl-max-2025-08-13",
+    "qwen-vl-max-2025-04-08",
+    "qwen-max-latest",
+]
+
+QWEN_API_OFFLINE_SCHEDULED_2026_07_13 = [
+    "qwen-vl-max",
+    "qwen-vl-plus",
+    "qwen-plus",
+    "qwen-max",
+    "qwen-turbo",
+]
+
+QWEN_API_LEGACY_MODELS = [
+    "qwen-plus-latest",
+]
+
+QWEN_API_MODELS = (
+    QWEN_API_MAIN_MODELS
+    + [f"{model} (deprecated: announced offline since 2026-05-13)" for model in QWEN_API_OFFLINE_SINCE_2026_05_13]
+    + [f"{model} (deprecated: offline scheduled 2026-07-13)" for model in QWEN_API_OFFLINE_SCHEDULED_2026_07_13]
+    + [f"{model} (deprecated: legacy, prefer Qwen3.6)" for model in QWEN_API_LEGACY_MODELS]
+)
+
+QWEN_API_MODEL_IDS = set(
+    QWEN_API_MAIN_MODELS
+    + QWEN_API_OFFLINE_SINCE_2026_05_13
+    + QWEN_API_OFFLINE_SCHEDULED_2026_07_13
+    + QWEN_API_LEGACY_MODELS
+)
+QWEN_API_VISION_MODEL_IDS = {model for model in QWEN_API_MODEL_IDS if model.startswith(("qwen3.6-", "qwen-vl-"))}
+
+def normalize_api_model_name(model):
+    return model.split(" (", 1)[0]
+
 IMAGE_SYSTEM_PROMPT_ZH = '''
 你是一位Prompt优化师，旨在将用户输入改写为优质Prompt，使其更完整、更具表现力，同时不改变原意。
 任务要求：
@@ -299,12 +344,13 @@ def build_force_translate_to_zh_prompt(text, prompt_style):
         f"{text}"
     )
 
-def api_edit(prompt, img_list, model="qwen-vl-max-latest", save_tokens=True, api_key=None, kwargs={}):
+def api_edit(prompt, img_list, model="qwen3.6-plus", save_tokens=True, api_key=None, kwargs={}):
     if not api_key:
         raise EnvironmentError("API_KEY is not set!")
-        
+
+    model = normalize_api_model_name(model)
     print(f'Using "{model}" for prompt rewriting...')
-    assert model in ["qwen-vl-max", "qwen-vl-max-latest", "qwen-vl-max-2025-08-13", "qwen-vl-max-2025-04-08"], f'"{model}" is not available for the "Qwen-Image-Edit" style.'
+    assert model in QWEN_API_VISION_MODEL_IDS, f'"{model}" is not available for the "Qwen-Image-Edit" style.'
     sys_promot = "you are a helpful assistant, you should provide useful answers to users."
     messages = [
         {"role": "system", "content": sys_promot},
@@ -338,7 +384,7 @@ def api_edit(prompt, img_list, model="qwen-vl-max-latest", save_tokens=True, api
     else:
         raise Exception(f'Failed to post: {response}')
 
-def polish_prompt_edit(api_key, prompt, img, model="qwen-vl-max-latest", max_retries=10, save_tokens=True, target_language="auto"):
+def polish_prompt_edit(api_key, prompt, img, model="qwen3.6-plus", max_retries=10, save_tokens=True, target_language="auto"):
     retries = 0
 
     # Detect original language
@@ -395,8 +441,9 @@ def api(prompt, model, api_key=None, kwargs={}):
     if not api_key:
         raise EnvironmentError("API_KEY is not set!")
 
+    model = normalize_api_model_name(model)
     print(f'Using "{model}" for prompt rewriting...')
-    assert model in ["qwen-vl-max", "qwen-vl-max-latest", "qwen-vl-max-2025-08-13", "qwen-plus", "qwen-max", "qwen-plus-latest", "qwen-max-latest"], f'"{model}" is not available for the "Qwen-Image" style.'
+    assert model in QWEN_API_MODEL_IDS, f'"{model}" is not available for the "Qwen-Image" style.'
     messages = [
         {'role': 'system', 'content': 'You are a helpful assistant.'},
         {'role': 'user', 'content': prompt}
@@ -417,7 +464,7 @@ def api(prompt, model, api_key=None, kwargs={}):
     else:
         raise Exception(f'Failed to post: {response}')
 
-def polish_prompt(api_key, prompt, model="qwen-plus", max_retries=10, target_language="auto"):
+def polish_prompt(api_key, prompt, model="qwen3.6-plus", max_retries=10, target_language="auto"):
     retries = 0
 
     # Detect original language
@@ -480,13 +527,8 @@ def INPUT_TYPES(s):
         if not mmproj_files:
             mmproj_options = ["(Auto-detect)", "(Not required)"]
 
-        # API
-        api_models = ["qwen-vl-max", "qwen-vl-max-latest", "qwen-vl-max-2025-08-13", 
-                      "qwen-vl-max-2025-04-08", "qwen-plus", "qwen-max", 
-                      "qwen-plus-latest", "qwen-max-latest"]
-        
         # integration
-        all_models = local_models + api_models
+        all_models = local_models + QWEN_API_MODELS
         if not all_models:
             all_models = ["(No models found)"]
 

wan_nodes.py

@@ -45,6 +45,51 @@
 
 key_path = os.path.join(folder_paths.get_folder_paths("custom_nodes")[0], "ComfyUI-MultiModal-Prompt-Nodes", "api_key.txt")
 
+QWEN_API_MAIN_MODELS = [
+    "qwen3.6-plus",
+    "qwen3.6-flash",
+    "qwen3.6-plus-2026-04-02",
+    "qwen3.6-flash-2026-04-16",
+    "qwen3.6-35b-a3b",
+]
+
+QWEN_API_OFFLINE_SINCE_2026_05_13 = [
+    "qwen-vl-max-latest",
+    "qwen-vl-max-2025-08-13",
+    "qwen-vl-max-2025-04-08",
+    "qwen-max-latest",
+]
+
+QWEN_API_OFFLINE_SCHEDULED_2026_07_13 = [
+    "qwen-vl-max",
+    "qwen-vl-plus",
+    "qwen-plus",
+    "qwen-max",
+    "qwen-turbo",
+]
+
+QWEN_API_LEGACY_MODELS = [
+    "qwen-plus-latest",
+]
+
+QWEN_API_MODELS = (
+    QWEN_API_MAIN_MODELS
+    + [f"{model} (deprecated: announced offline since 2026-05-13)" for model in QWEN_API_OFFLINE_SINCE_2026_05_13]
+    + [f"{model} (deprecated: offline scheduled 2026-07-13)" for model in QWEN_API_OFFLINE_SCHEDULED_2026_07_13]
+    + [f"{model} (deprecated: legacy, prefer Qwen3.6)" for model in QWEN_API_LEGACY_MODELS]
+)
+
+QWEN_API_MODEL_IDS = set(
+    QWEN_API_MAIN_MODELS
+    + QWEN_API_OFFLINE_SINCE_2026_05_13
+    + QWEN_API_OFFLINE_SCHEDULED_2026_07_13
+    + QWEN_API_LEGACY_MODELS
+)
+QWEN_API_VISION_MODEL_IDS = {model for model in QWEN_API_MODEL_IDS if model.startswith(("qwen3.6-", "qwen-vl-"))}
+
+def normalize_api_model_name(model):
+    return model.split(" (", 1)[0]
+
 # Wan2.2 Video Generation System Prompts
 WAN_T2V_SYSTEM_PROMPT_ZH = '''
 你是提示词优化师，旨在将用户输入改写为优质视频生成Prompt，使其更完整、更具表现力，同时不改变原意。
@@ -207,7 +252,9 @@ def api_with_image(prompt, img_list, model, task_type="i2v", save_tokens=True, a
     if not api_key:
         raise EnvironmentError("API_KEY is not set!")
 
+    model = normalize_api_model_name(model)
     print(f'Using "{model}" for Wan2.2 I2V prompt rewriting...')
+    assert model in QWEN_API_VISION_MODEL_IDS, f'"{model}" is not available for Wan2.2 I2V API usage.'
 
     # Select appropriate system prompt based on language
     lang = get_caption_language(prompt)
@@ -247,7 +294,9 @@ def api(prompt, model, task_type="t2v", api_key=None, kwargs={}):
     if not api_key:
         raise EnvironmentError("API_KEY is not set!")
 
+    model = normalize_api_model_name(model)
     print(f'Using "{model}" for Wan2.2 T2V prompt rewriting...')
+    assert model in QWEN_API_MODEL_IDS, f'"{model}" is not available for Wan2.2 T2V API usage.'
 
     # Select appropriate system prompt based on language
     lang = get_caption_language(prompt)
@@ -273,7 +322,7 @@ def api(prompt, model, task_type="t2v", api_key=None, kwargs={}):
     else:
         raise Exception(f'Failed to post: {response}')
 
-def polish_prompt_wan(api_key, prompt, task_type="t2v", model="qwen-plus", max_retries=10, image=None, save_tokens=True, target_language="auto"):
+def polish_prompt_wan(api_key, prompt, task_type="t2v", model="qwen3.6-plus", max_retries=10, image=None, save_tokens=True, target_language="auto"):
     """
     Polish prompt for Wan2.2 video generation
     
@@ -338,20 +387,8 @@ def INPUT_TYPES(s):
         if not mmproj_files:
             mmproj_options = ["(Auto-detect)", "(Not required)"]
 
-        # API
-        api_models = [
-            "qwen-vl-max", 
-            "qwen-vl-max-latest", 
-            "qwen-vl-max-2025-08-13", 
-            "qwen-vl-max-2025-04-08",
-            "qwen-plus", 
-            "qwen-max", 
-            "qwen-plus-latest", 
-            "qwen-max-latest"
-        ]
-        
         # integration
-        all_models = local_models + api_models
+        all_models = local_models + QWEN_API_MODELS
         if not all_models:
             all_models = ["(No models found)"]
 
@@ -368,7 +405,7 @@ def INPUT_TYPES(s):
                 }),
                 "llm_model": (all_models, {
                     "default": all_models[0] if all_models[0] != "(No models found)" else all_models[0],
-                    "tooltip": 'Select "Local: xxx" for local models. Use qwen-vl-* for I2V with API.'
+                    "tooltip": 'Select "Local: xxx" for local models. Use Qwen3.6 or qwen-vl-* for I2V with API.'
                 }),
                 "mmproj": (mmproj_options, {
                     "default": mmproj_options[0],
@@ -502,8 +539,9 @@ def rewrite(self, prompt, task_type, target_language, llm_model, mmproj, max_ret
 
             # Validate model selection for I2V
             if task_internal == "i2v":
-                if not llm_model.startswith("qwen-vl"):
-                    raise ValueError(f'For Image-to-Video tasks, please use a qwen-vl-* model. Current model: {llm_model}')
+                api_model_id = normalize_api_model_name(llm_model)
+                if api_model_id not in QWEN_API_VISION_MODEL_IDS:
+                    raise ValueError(f'For Image-to-Video tasks, please use a Qwen3.6 or qwen-vl-* model. Current model: {llm_model}')
                 if image is None:
                     raise ValueError("Image input is required for Image-to-Video task!")