feat(mcp): update bigmind/mcp-image-gen/webscraper servers; add image-gen batch scripts

mcp/mcp-image-gen/src/server.py

@@ -244,26 +244,49 @@ def build_flux_workflow(
     """
     workflow_path = _WORKFLOW_REGISTRY.get(model, _WORKFLOW_REGISTRY[_DEFAULT_MODEL])
 
-    with open(workflow_path) as f:
-        wf = json.load(f)
-    wf = copy.deepcopy(wf)
-
+    # Load workflow as text first — replace string placeholders
+    raw = workflow_path.read_text()
     actual_seed = seed if seed != -1 else random.randint(0, 2**32 - 1)
 
-    wf["6"]["inputs"]["text"] = prompt
-    wf["33"]["inputs"]["text"] = neg_prompt
-    wf["27"]["inputs"]["width"] = width
-    wf["27"]["inputs"]["height"] = height
-    wf["13"]["inputs"]["steps"] = steps
-    wf["13"]["inputs"]["seed"] = actual_seed
-    # Node 32 = UNETLoader (flux1-schnell.safetensors is UNet-only, not all-in-one checkpoint)
-    wf["32"]["inputs"]["unet_name"] = model
+    raw = raw.replace('"PROMPT_PLACEHOLDER"', json.dumps(prompt))
+    raw = raw.replace('"NEGATIVE_PLACEHOLDER"', json.dumps(neg_prompt))
+    wf = json.loads(raw)
+    wf = copy.deepcopy(wf)
+
+    # Recursively inject numeric values into matching field names
+    _inject_workflow_params(wf, {
+        "width": width,
+        "height": height,
+        "steps": steps,
+        "seed": actual_seed,
+        "noise_seed": actual_seed,
+        "unet_name": model,
+    })
 
     # Attach the actual seed as metadata so callers can retrieve it
     wf["_meta"] = {"actual_seed": actual_seed}
     return wf
 
 
+def _inject_workflow_params(node: dict | list, params: dict) -> None:
+    """Recursively walk a workflow dict/list and inject parameter values.
+
+    For each dict encountered, if it has an "inputs" sub-dict, update
+    any matching field names from params. This is model-agnostic and
+    works regardless of ComfyUI node IDs.
+    """
+    if isinstance(node, dict):
+        if "inputs" in node and isinstance(node["inputs"], dict):
+            for key, value in params.items():
+                if key in node["inputs"] and not isinstance(node["inputs"][key], list):
+                    node["inputs"][key] = value
+        for v in node.values():
+            _inject_workflow_params(v, params)
+    elif isinstance(node, list):
+        for item in node:
+            _inject_workflow_params(item, params)
+
+
 # ---------------------------------------------------------------------------
 # Helpers
 # ---------------------------------------------------------------------------