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SDXL-C-游戏角色/赛马娘/UmaDiffusionXL-768x1024.civitai.info

@@ -3,7 +3,8 @@
     "modelId": 99510,
     "name": "SDXL-alpha",
     "createdAt": "2023-11-04T15:40:47.308Z",
-    "updatedAt": "2023-11-04T16:09:44.735Z",
+    "updatedAt": "2024-04-19T16:04:30.496Z",
+    "status": "Published",
     "publishedAt": "2023-11-04T16:09:44.733Z",
     "trainedWords": [
         "PLEASE SEE DOCUMENTS"
@@ -13,17 +14,32 @@
     "baseModel": "SDXL 1.0",
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-    "description": "<p>This is <strong>alpha </strong>version of SDXL AIO LoRA of Uma musume</p><p><strong>Recommended options</strong></p><ul><li><p>LoRA weight 1.0</p></li><li><p>Trigger words</p><ul><li><p>[character name] \\(umamusume\\) or [character name]</p></li><li><p>For example,</p><ul><li><p>manhattan cafe \\(umamusume\\)</p></li><li><p>hayakawa tazuna</p></li></ul></li></ul></li></ul><p><strong>Settings</strong></p><ul><li><p>For Stable Diffusion <strong>XL</strong></p><ul><li><p>Use a model derived from Stable Diffusion XL <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9\">0.9</a> or <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0\">1.0</a></p></li><li><p>DPM++ 2M SDE Karras</p></li><li><p>about 30 steps, CFG scale ~6.5</p></li><li><p><a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/stabilityai/sdxl-vae\">SDXL vae</a></p></li></ul></li><li><p>CLIP skip = 1 or 2. Use whatever you want.</p></li><li><p>Use Hires.fix to get higher quality image</p><ul><li><p>Upscaler</p><ul><li><p>Latent, Latent (nearest-exact), Latent (bicubic antialiased) or other Latent series.</p></li></ul></li><li><p>Denoising strength 0.50~0.65</p></li></ul></li></ul>",
+    "description": "<!--\nThis is alpha 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\nSDXL 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 : SDXL 1.0\n\n* Hardware : 4x RTX TITAN\n\n* Training time : 37 hours\n\n* Dataset : ULTIMA Dataset\n\n* Resolution : 768x1024 with aspect ratio bucketing\n\n* Dim, Alpha : 32\n\n* with dynamic pruning rank=24\n\n* Network dropout = 0.1\n\n* Optimizer : AdamW, weight decay=0.1\n\n* Steps : 12,024\n\n* Total Batch size : 48\n\n* 4 GPU x 3 batch size x 4 Gradient Accumulation steps\n\n* Learning rate : warmup to 1e-4 for 340 steps and then kept constantLR scheduler\n\n* LR scheduler is constant_with_warmup.\n\nSettings\n\n* For Stable Diffusion XL\n\n* Use a model derived from Stable Diffusion XL 0.9 or 1.0\n\n* DPM++ 2M SDE Karras\n\n* about 30 steps, CFG scale ~6.5\n\n* SDXL vae\n\n* CLIP skip = 1 or 2. Use whatever you want.\n\n* Use Hires.fix to get higher quality image\n\n* Upscaler\n\n* Latent, Latent (nearest-exact), Latent (bicubic antialiased) or other Latent series.\n\n* Denoising strength 0.50~0.65\n-->",
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     "model": {
         "name": "UmaMusume All In One LoRA",
         "type": "LoCon",
         "nsfw": false,
-        "poi": 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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+            "lora"
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+            "Image",
+            "RentCivit"
+        ],
+        "allowDerivatives": false,
+        "allowDifferentLicense": false
     },
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