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PONY-C-游戏角色/赛马娘/UmaDiffusionXL_pony.civitai.info

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+    "id": 453842,
+    "modelId": 99510,
+    "name": "SDXL-pony",
+    "createdAt": "2024-04-18T13:02:22.089Z",
+    "updatedAt": "2024-04-19T17:07:49.567Z",
+    "status": "Published",
+    "publishedAt": "2024-04-19T17:07:49.565Z",
+    "trainedWords": [],
+    "trainingStatus": null,
+    "trainingDetails": null,
+    "baseModel": "Pony",
+    "baseModelType": null,
+    "earlyAccessTimeFrame": 0,
+    "description": "<!--\nThis is pony version of SDXL AIO LoRA of Uma Musume\n\nRecommended options\n\n* LoRA weight 1.0\n\n* Trigger words\n\n* [character name] \\(umamusume\\) or [character name]\n\n* For example,\n\n* manhattan cafe \\(umamusume\\)\n\n* hayakawa tazuna\n\nSettings\n\n* For Stable Diffusion XL Pony V6\n\n* Please follow pony's generation guide.\n\n* SDXL-Pony version\n\n* trained on sd-scripts by kohya_ss and LyCORIS by KohakuBlueleaf\n\n* Thank you all a lot!\n\n* Base model : Pony Diffusion V6 XL\n\n* Hardware : 4x RTX 4090\n\n* Training time : 21 hours\n\n* Dataset : ULTIMA Dataset\n\n* With synthetic natural language caption. half-half ratio\n\n* Max Token Length : 225\n\n* Resolution : 1024x1024\n\n* Aspect Ratio Bucketing\n\n* Dim, Alpha : 32\n\n* Algorithm : LoCon\n\n* Network dropout = 0.1\n\n* Optimizer : Lion8bit\n\n* weight decay=0.1, betas=(0.9, 0.95)\n\n* Steps : 10,060\n\n* Total Batch size : 64\n\n* 4 GPU x 4 batch size x 4 Gradient Accumulation steps\n\n* Learning rate :\n\n* U-Net : 1e-4\n\n* Text Encoder 1 : 5e-5\n\n* Text Encoder 2 : 5e-5\n\n* warmup to 1e-4 for 100 steps and then kept constantLR scheduler\n\n* LR scheduler : constant with warmup.\n\n* Min SNR gamma : 5\n\n* Noise Offset : 0.0357\n-->",
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+        "ratingCount": 0,
+        "rating": 0,
+        "thumbsUpCount": 98
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+    "model": {
+        "name": "UmaMusume All In One LoRA",
+        "type": "LoCon",
+        "nsfw": false,
+        "poi": false,
+        "description": "<!--\nThis is AIO LoRA of Uma Musumes.\n\n\n\nAll of our works is free. If you'd like to support our team, feel free to buy me a coffee. \ud83d\udc4d\n\n\n\nOne of our team member have admission into a graduate school. So, we don't have much times. Here is some plan for this\n\n\n\nPLAN* We will refine ULTIMA Dataset for characters who have insufficient images.\n\n* Synthetic caption will be updated.\n\n* When the main scenario ends, we will supply the costumes or characters released during the period.\n\n* 4 months are too short. We focus on refining dataset now. \n\n* If there is a new Stable Diffusion model like SDXL, we will make LoRA for this depending on budget.\n\n* As we said earlier, the above plan can be changed at any time because we don't have much time. We hope this is sustainable project.\n\n\n\nNOTICE* Some SDXL model, like Kohaku-XL Epsilon, can generate various Uma Musumes!\n\n* For now, SDXL version is unstable and alpha version. I made this for a test.\n\n* This is AIO LoRA of almost characters of Uma Musume : Pretty Derby.\n\n* 106 characters in Uma Musume: Pretty Derby\n\n* About 300+ costumes. For each character, average 2+ costumes.\n\n* 8 official clothes for all characters.\n\n* You can find all possible trigger words in here.\n\n* Depending on model, Some characters are not able to generate.\n\n* For example, Ikuno Dictus - Counterfeit V3.0\n\n* The LoRA is optimized for Hires.fix.\n\n\n\nSettings* Please see ABOUT THIS VERSION in right side of page ----->\n\n* If you want to use SDXL-alpha LoRA with AnimagineXL, use weight around 0.6\n\n\n\nother training settings is included in metadata of LoRA file\n-->",
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+}

PONY-C-游戏角色/赛马娘/UmaDiffusionXL_pony.safetensors

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