civitai_mirror / models /LoCon /s12V410UpdateStyleLora_v410.civitai.info
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{
"id": 35578,
"modelId": 22696,
"name": "V4 1.0",
"createdAt": "2023-04-04T09:16:56.971Z",
"updatedAt": "2023-04-04T10:04:28.070Z",
"trainedWords": [
"*color* theme",
"abstract",
"powerful",
"great style",
"good style",
"bad style",
"blurry",
"lowres",
"blurry background",
"particles",
"realistic",
"3d",
"olis"
],
"baseModel": "Other",
"earlyAccessTimeFrame": 0,
"description": "<p><strong>This is an Extended LoRA and will require LOCON extension.</strong></p><p>This version can vary wildly from v4 0.6, so be aware of that. Generally features better control, further negative tagging, and so on.</p><p>Optional pos/neg tag pair \"Great style/good style\" \"bad style\" is ready for use and does have serious impact on image. Will be expanded in future versions.</p><p>Additionally this dataset has own images tagged \"blurry, lowres\", so using those negatives is advised.</p><p>Changelog:</p><p>V4 2.0: Dataset expansion to 1000+. Maybe rank increase. Future new training techniques, if available.</p><p><strong>-You are here-</strong><br />V4: Smoothing tagging further. Better control. Separation of \"Particles\" concept from unprompted generation. Much less various particles appear unprompted.</p><p><em>(Not Released)v4 0.6.5: Better stability. Weight Clipping for tenc used.</em></p><p>v4 0.6: Adequate tagging and knowledge separation. Advanced Adan training with separated tenc and u-net weight decay. Complete basic negative tagging.</p><p><em>(Not Released)v4 0.5: Dataset expansion to over 500 images. Initial tagging of additional dataset. Advanced Adan training. Initial negative tagging.</em></p><p><em>(Not Released)v3.3.4: Better color theme tag. More tags. Optimized Adan training. Awesome drawn texturing. Stable. Experiencing interesting style of upscale.</em></p><p><em>(Not Released)v3.3.3 Themes: initial addition of color theme tag. Expanded tagging. New Adan training. Unstable.</em><br />3.3.2: Adan optimizer training v2. Complete tagging of base dataset. Trying to localize style to \"ohwx\", while separating abstraction elements.<br />v3.3.2 is trained as a fine-tune, so it will affect generation without trigger words, but some concepts are isolated in them, overall, it tries to not change contents of image in a major way, but sometimes can.<br /><em>(Not Released)3.3.1: Experiment with Adan optimizer. Went bad.<br />(Not Released)3.2: Itterating on settings, trying out Lion optimizer.<br />(Nor Released)3.1(V3 sv1): advanced tagging, still incomplete. Separation of some knowledge to specific words, like \"abstract\" and \"powerful\"<br />(Not Released)V3: Decent usable state, tagging incomplete. Custom deep mix trained.<br />(Not Released)V2: Something actually usable, moving to extended. ACM trained.<br />(Not Released)V1: just basic lora, learning to do stuff. ACM trained.</em></p>",
"model": {
"name": "S12 V4 1.0 update! | Style LoRA | Extended LoRA",
"type": "LoCon",
"nsfw": false,
"poi": false
},
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