Fix Qwen 2.1 GGUF load: promote Q8 norms to F32 and wire TextEncode latent.

abenzerps Q8_0 ships 1D RMSNorms as packed Q8 (136 vs 128), which breaks
Comfy rms_rope; tagger now dequantizes small tensors and the graph uses
TextEncodeQwenImage21's 64-ch latent plus AuraFlow shift.

Co-authored-by: Cursor <cursoragent@cursor.com>

server/assets/studio2_qwen21_t2i.json

@@ -6,6 +6,14 @@
     "class_type": "UnetLoaderGGUF",
     "_meta": { "title": "Load Qwen 2.1 GGUF" }
   },
+  "3": {
+    "inputs": {
+      "shift": 3.1,
+      "model": ["4", 0]
+    },
+    "class_type": "ModelSamplingAuraFlow",
+    "_meta": { "title": "Qwen 2.1 shift" }
+  },
   "5": {
     "inputs": {
       "clip_name": "qwen3vl_8b_int8_convrot.safetensors",
@@ -22,38 +30,15 @@
     "class_type": "VAELoader",
     "_meta": { "title": "Load Qwen 2.1 VAE" }
   },
-  "66": {
-    "inputs": {
-      "shift": 3.1,
-      "model": ["4", 0]
-    },
-    "class_type": "ModelSamplingAuraFlow",
-    "_meta": { "title": "ModelSamplingAuraFlow" }
-  },
   "9": {
     "inputs": {
-      "text": "",
-      "clip": ["5", 0]
+      "clip": ["5", 0],
+      "prompt": "",
+      "negative_prompt": "",
+      "resolution": 1024
     },
-    "class_type": "CLIPTextEncode",
-    "_meta": { "title": "Positive Prompt" }
-  },
-  "10": {
-    "inputs": {
-      "text": "",
-      "clip": ["5", 0]
-    },
-    "class_type": "CLIPTextEncode",
-    "_meta": { "title": "Negative Prompt" }
-  },
-  "14": {
-    "inputs": {
-      "width": 1024,
-      "height": 1024,
-      "batch_size": 1
-    },
-    "class_type": "EmptySD3LatentImage",
-    "_meta": { "title": "Empty Latent" }
+    "class_type": "TextEncodeQwenImage21",
+    "_meta": { "title": "Text Encode Qwen Image 2.1" }
   },
   "15": {
     "inputs": {
@@ -63,10 +48,10 @@
       "sampler_name": "euler",
       "scheduler": "simple",
       "denoise": 1,
-      "model": ["66", 0],
+      "model": ["3", 0],
       "positive": ["9", 0],
-      "negative": ["10", 0],
-      "latent_image": ["14", 0]
+      "negative": ["9", 1],
+      "latent_image": ["9", 2]
     },
     "class_type": "KSampler",
     "_meta": { "title": "KSampler" }

server/utils/studio2/runner.ts

@@ -135,17 +135,17 @@ async function prepareGraph(r: any) {
         s.width = size.width;
         s.height = size.height;
         graph = structuredClone(qwen21Template);
-        graph['9'].inputs.text = q.compiledPrompt;
-        graph['10'].inputs.text = stylePrompt(q.imageStyles, true);
-        graph['14'].inputs.width = size.width;
-        graph['14'].inputs.height = size.height;
+        graph['9'].inputs.prompt = q.compiledPrompt;
+        graph['9'].inputs.negative_prompt = stylePrompt(q.imageStyles, true);
+        // TextEncodeQwenImage21 builds the 64-ch empty latent from resolution (square T2I).
+        graph['9'].inputs.resolution = Math.max(size.width, size.height);
         graph['15'].inputs.seed = s.seed;
         graph['15'].inputs.steps = s.steps || 25;
         graph['15'].inputs.cfg = s.cfg ?? 1;
         graph['15'].inputs.sampler_name = 'euler';
         graph['15'].inputs.scheduler = 'simple';
         graph['21'].inputs.filename_prefix = prefix + '/image';
-        r.sampleLatent = 'empty latent';
+        r.sampleLatent = 'qwen21 textencode latent';
         r.sampleDenoise = null;
         r.heroReferenceAttached = false;
         r.graphId = 'studio2_qwen21_t2i.json';