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Browse files- noobai_vpred_1_aesthetic_quality_modifiers_complete_v2/images.zip +3 -0
- noobai_vpred_1_aesthetic_quality_modifiers_complete_v2/model_info.json +615 -0
- noobai_vpred_1_aesthetic_quality_modifiers_complete_v2/noobai_vpred_1_aesthetic_quality_modifiers_complete_v2.html +1 -0
- noobai_vpred_1_aesthetic_quality_modifiers_complete_v2/noobai_vpred_1_aesthetic_quality_modifiers_complete_v2.safetensors +3 -0
noobai_vpred_1_aesthetic_quality_modifiers_complete_v2/images.zip
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oid sha256:1509633eb84ca686f3d16d87df31d045ca656e65e3efc47c905cbcc03be1714a
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noobai_vpred_1_aesthetic_quality_modifiers_complete_v2/model_info.json
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| 1 |
+
{
|
| 2 |
+
"id": 1003636,
|
| 3 |
+
"name": "Aesthetic Quality Modifiers - Complete",
|
| 4 |
+
"description": "<h1 id=\"aesthetic-quality-modifiers-complete-ni0zvcxyx\"><strong>Aesthetic Quality Modifiers - Complete</strong></h1><p></p><p><span style=\"color:rgb(193, 194, 197)\">Training data is a subset of all my manally rated datasets with the quality/aesthetic modifiers, including only the </span><code>masterpiece</code>, <code>best quality</code> , or <code>very aesthetic</code> tagged images (5332 total).</p><p></p><p>Superset and final of models in the <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/collections/6456031\"><strong>Aesthetic Quality Modifiers Collection</strong></a>.</p><p></p><p><strong><span style=\"color:rgb(193, 194, 197)\">Recommended prompt structure:</span></strong></p><p>Positive prompt:</p><pre><code>{{tags}}\nmasterpiece, best quality, very aesthetic, absurdres</code></pre><p>Negative prompt:</p><pre><code>(worst quality, low quality:1.1), score_4, score_3, score_2, score_1, error, bad anatomy, bad hands, watermark, ugly, distorted, signature</code></pre>",
|
| 5 |
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"allowNoCredit": true,
|
| 6 |
+
"allowCommercialUse": [
|
| 7 |
+
"Image",
|
| 8 |
+
"RentCivit",
|
| 9 |
+
"Rent"
|
| 10 |
+
],
|
| 11 |
+
"allowDerivatives": true,
|
| 12 |
+
"allowDifferentLicense": true,
|
| 13 |
+
"type": "LORA",
|
| 14 |
+
"minor": false,
|
| 15 |
+
"poi": false,
|
| 16 |
+
"nsfw": false,
|
| 17 |
+
"nsfwLevel": 15,
|
| 18 |
+
"cosmetic": null,
|
| 19 |
+
"stats": {
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"downloadCount": 2220,
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"favoriteCount": 0,
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"thumbsUpCount": 286,
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"thumbsDownCount": 0,
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"commentCount": 4,
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"ratingCount": 0,
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"rating": 0,
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"tippedAmountCount": 0
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},
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| 29 |
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"creator": {
|
| 30 |
+
"username": "motimalu",
|
| 31 |
+
"image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/89bf8e3d-6f07-4136-84e7-a8402b97d128/width=96/motimalu.jpeg"
|
| 32 |
+
},
|
| 33 |
+
"tags": [
|
| 34 |
+
"concept",
|
| 35 |
+
"masterpiece",
|
| 36 |
+
"best quality",
|
| 37 |
+
"absurdres",
|
| 38 |
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"very aesthetic"
|
| 39 |
+
],
|
| 40 |
+
"modelVersions": [
|
| 41 |
+
{
|
| 42 |
+
"id": 1243836,
|
| 43 |
+
"index": 0,
|
| 44 |
+
"name": "v2.0 [noobai-v-pred-1]",
|
| 45 |
+
"baseModel": "Illustrious",
|
| 46 |
+
"createdAt": "2025-01-05T12:33:15.181Z",
|
| 47 |
+
"publishedAt": "2025-01-05T12:47:03.337Z",
|
| 48 |
+
"status": "Published",
|
| 49 |
+
"availability": "Public",
|
| 50 |
+
"nsfwLevel": 7,
|
| 51 |
+
"description": "<p>Trained on <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/833294/noobai-xl-nai-xl?modelVersionId=1190596\"><strong>NoobAI-XL (NAI-XL) V-Pred 1.0-Version</strong></a></p><p>With the kohya_ss dev branch, <code>v_paratemization</code> and <code>zero_terminal_ssr</code> enabled.</p><ul><li><p>Updated the training data to include some recently rated datasets</p><ul><li><p>Total 6,661 images</p></li></ul></li><li><p>Updated some tags to match noobai tagging conventions</p><ul><li><p><code>very aesthetic</code> tags to <code>very awa</code></p></li><li><p><code>by {artist}</code> tags to <code>artist:{artist}</code></p></li></ul></li></ul><p>Previews use CFG of 10 with DynamicThresholding (CFG-Fix) Integrated in Forge</p><p>A CFG of 5.5 is recommended if not using this, references on the effect of CFG on image saturation: <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/posts/11143736\">https://civitai.com/posts/11143736</a></p><p>ComfyUI reference example with DynamicThresholding: <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/images/49703093\">https://civitai.com/images/49703093</a></p>",
|
| 52 |
+
"trainedWords": [
|
| 53 |
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"masterpiece, best quality, very awa, absurdres"
|
| 54 |
+
],
|
| 55 |
+
"stats": {
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| 56 |
+
"downloadCount": 61,
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| 57 |
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"ratingCount": 0,
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| 58 |
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"rating": 0,
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"thumbsUpCount": 19,
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| 60 |
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"thumbsDownCount": 0
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| 61 |
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},
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| 62 |
+
"files": [
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| 63 |
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{
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| 64 |
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"id": 1149180,
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| 65 |
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"sizeKB": 334600.66015625,
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| 66 |
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"name": "noobai_vpred_1_aesthetic_quality_modifiers_complete_v2.safetensors",
|
| 67 |
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"type": "Model",
|
| 68 |
+
"pickleScanResult": "Success",
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| 69 |
+
"pickleScanMessage": "No Pickle imports",
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| 70 |
+
"virusScanResult": "Success",
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| 71 |
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"virusScanMessage": null,
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| 72 |
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"scannedAt": "2025-01-05T12:36:29.334Z",
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{"id":1003636,"name":"Aesthetic Quality Modifiers - Complete","description":"<h1 id=\"aesthetic-quality-modifiers-complete-ni0zvcxyx\"><strong>Aesthetic Quality Modifiers - Complete</strong></h1><p></p><p><span style=\"color:rgb(193, 194, 197)\">Training data is a subset of all my manally rated datasets with the quality/aesthetic modifiers, including only the </span><code>masterpiece</code>, <code>best quality</code> , or <code>very aesthetic</code> tagged images (5332 total).</p><p></p><p>Superset and final of models in the <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/collections/6456031\"><strong>Aesthetic Quality Modifiers Collection</strong></a>.</p><p></p><p><strong><span style=\"color:rgb(193, 194, 197)\">Recommended prompt structure:</span></strong></p><p>Positive prompt:</p><pre><code>{{tags}}\nmasterpiece, best quality, very aesthetic, absurdres</code></pre><p>Negative prompt:</p><pre><code>(worst quality, low quality:1.1), score_4, score_3, score_2, score_1, 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