Archive matched Qwen Turbo Q2 image and memory evidence

2026-10-21 16:41:53 +02:00
1 parent 8a955d0738
commit df8e50e5e4
@@ -0,0 +1,132 @@
+{
+  "1": {
+    "class_type": "UnetLoaderGGUFAdvanced",
+    "inputs": {
+      "unet_name": "qwen-image-2.1-turbo-Q2_K.gguf",
+      "dequant_dtype": "float32",
+      "patch_dtype": "float32",
+      "patch_on_device": false
+    }
+  },
+  "2": {
+    "class_type": "CLIPLoader",
+    "inputs": {
+      "clip_name": "qwen3vl_8b_int8_convrot.safetensors",
+      "type": "qwen_image",
+      "device": "cpu"
+    }
+  },
+  "3": {
+    "class_type": "TextEncodeQwenImage21",
+    "inputs": {
+      "clip": [
+        "2",
+        0
+      ],
+      "prompt": "Create a single image from the supplied scene description.\n\nSource generation_brief:\nA detailed travel photograph of a lively Mediterranean open-air produce market in early morning. In the foreground, three wooden crates hold red tomatoes, striped eggplants and yellow lemons, each type kept in its own crate. An adult vendor wearing a plain white shirt stands behind the stall, handing a small paper bag to an adult customer in a green jacket. A striped blue-and-white canopy casts cool shade over the stall. Beyond them, a narrow pedestrian street slopes toward a distant harbor with two white sailboats. Warm sunlight touches the upper walls but the foreground remains softly shaded. Compose the scene in layers with natural human proportions, believable hands, clear separation between people, baskets and produce, and rich but realistic color. Avoid artificial lens flares, watermarks and unreadable signs.",
+      "negative_prompt": "",
+      "resolution": 512
+    }
+  },
+  "4": {
+    "class_type": "VAELoader",
+    "inputs": {
+      "vae_name": "qwen_image_2.1_vae_bf16.safetensors"
+    }
+  },
+  "5": {
+    "class_type": "QwenImage21Cache",
+    "inputs": {
+      "model": [
+        "1",
+        0
+      ],
+      "device": "off",
+      "dtype": "default"
+    }
+  },
+  "6": {
+    "class_type": "PFQwenQ2WholeGeneratorSampler",
+    "inputs": {
+      "noise": [
+        "9",
+        0
+      ],
+      "guider": [
+        "10",
+        0
+      ],
+      "sampler": [
+        "11",
+        0
+      ],
+      "sigmas": [
+        "12",
+        0
+      ],
+      "latent_image": [
+        "3",
+        2
+      ]
+    }
+  },
+  "7": {
+    "class_type": "VAEDecode",
+    "inputs": {
+      "samples": [
+        "6",
+        0
+      ],
+      "vae": [
+        "4",
+        0
+      ]
+    }
+  },
+  "8": {
+    "class_type": "SaveImage",
+    "inputs": {
+      "images": [
+        "7",
+        0
+      ],
+      "filename_prefix": "PacketFoundry-Qwen21TurboQ2"
+    }
+  },
+  "9": {
+    "class_type": "RandomNoise",
+    "inputs": {
+      "noise_seed": 50
+    }
+  },
+  "10": {
+    "class_type": "CFGGuider",
+    "inputs": {
+      "model": [
+        "5",
+        0
+      ],
+      "positive": [
+        "3",
+        0
+      ],
+      "negative": [
+        "3",
+        1
+      ],
+      "cfg": 1.0
+    }
+  },
+  "11": {
+    "class_type": "KSamplerSelect",
+    "inputs": {
+      "sampler_name": "euler"
+    }
+  },
+  "12": {
+    "class_type": "ManualSigmas",
+    "inputs": {
+      "sigmas": "1.0, 0.978453, 0.95418, 0.926626, 0.89508, 0.845148, 0.704534, 0.414568, 0"
+    }
+  }
+}