Archive Qwen Turbo ten-image trial and measured seed-cache evidence

This commit is contained in:
slobodanmargetic988 committed 2026-10-21 11:34:02 +02:00
1 parent 3bd36b1074
commit c842294b6a
48 files changed
+9389 -112

No files matched your search

@@ -0,0 +1,132 @@
{
"1": {
"class_type": "UnetLoaderGGUFAdvanced",
"inputs": {
"unet_name": "qwen-image-2.1-turbo-Q4_K_M.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": "SamplerCustomAdvanced",
"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-Qwen21Turbo"
}
},
"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"
}
}
}