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- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617121/118236415.jpeg +3 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617121/118236415.json +40 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617121/118236416.jpeg +3 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617121/118236416.json +40 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617121/model_dict-mid_2324315-vid_2617121.json +302 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617165/118238374.jpeg +3 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617165/118238374.json +40 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617165/118238376.jpeg +3 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617165/118238376.json +40 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617165/model_dict-mid_2324315-vid_2617165.json +302 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/klein_9B_Turbo_r128-mid_2324315-vid_2617121.csv +7 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/klein_9B_Turbo_r128-mid_2324315-vid_2617121.safetensors +3 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/klein_9B_Turbo_r64-mid_2324315-vid_2617165.csv +7 -0
- klein-9b/lora/Klein 4B&9B Base to Turbo Lora/klein_9B_Turbo_r64-mid_2324315-vid_2617165.safetensors +3 -0
- klein-9b/lora/[flux2-klein-9b] Pyro's BJ/bj_20260120_22-22-29epoch15_comfy-mid_2326122-vid_2616688.csv +7 -0
- klein-9b/lora/[flux2-klein-9b] Pyro's BJ/bj_20260120_22-22-29epoch15_comfy-mid_2326122-vid_2616688.safetensors +3 -0
- klein-9b/lora/[flux2-klein-9b] Pyro's BJ/extra_data-vid_2616688/model_dict-mid_2326122-vid_2616688.json +294 -0
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"url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1be9bf70-9bb9-4dee-9695-0e9f77e9d59b/original=true/118236416.jpeg",
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| 3 |
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"nsfwLevel": 1,
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"width": 880,
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"height": 1184,
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"hash": "UiJko+xa%3NF~qxuoMRjV@WBNFjut7RjWBof",
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"type": "image",
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| 8 |
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"metadata": {
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"hash": "UiJko+xa%3NF~qxuoMRjV@WBNFjut7RjWBof",
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"size": 1791049,
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"width": 880,
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"height": 1184,
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"nsfwLevelReason": "Knights Vote"
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| 14 |
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},
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| 15 |
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"minor": false,
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| 16 |
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"poi": false,
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| 17 |
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"meta": {
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| 18 |
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"seed": 500619464913072,
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| 19 |
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"vaes": [
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| 20 |
+
"flux2-vae.safetensors"
|
| 21 |
+
],
|
| 22 |
+
"comfy": "{\"prompt\": {\"1\": {\"inputs\": {\"samples\": [\"8\", 0], \"vae\": [\"7\", 0]}, \"class_type\": \"VAEDecode\", \"_meta\": {\"title\": \"VAE Decode\"}}, \"4\": {\"inputs\": {\"cfg\": 1.0, \"model\": [\"17\", 0], \"positive\": [\"14\", 0], \"negative\": [\"5\", 0]}, \"class_type\": \"CFGGuider\", \"_meta\": {\"title\": \"CFGGuider\"}}, \"5\": {\"inputs\": {\"conditioning\": [\"14\", 0]}, \"class_type\": \"ConditioningZeroOut\", \"_meta\": {\"title\": \"ConditioningZeroOut\"}}, \"6\": {\"inputs\": {\"clip_name\": \"qwen_3_8b_fp8mixed.safetensors\", \"type\": \"flux2\", \"device\": \"default\"}, \"class_type\": \"CLIPLoader\", \"_meta\": {\"title\": \"Load CLIP\"}}, \"7\": {\"inputs\": {\"vae_name\": \"flux2-vae.safetensors\"}, \"class_type\": \"VAELoader\", \"_meta\": {\"title\": \"Load VAE\"}}, \"8\": {\"inputs\": {\"noise\": [\"15\", 0], \"guider\": [\"4\", 0], \"sampler\": [\"11\", 0], \"sigmas\": [\"27\", 0], \"latent_image\": [\"37\", 2]}, \"class_type\": \"SamplerCustomAdvanced\", \"_meta\": {\"title\": \"SamplerCustomAdvanced\"}}, \"11\": {\"inputs\": {\"sampler_name\": \"euler\"}, \"class_type\": \"KSamplerSelect\", \"_meta\": {\"title\": \"KSamplerSelect\"}}, \"13\": {\"inputs\": {\"filename_prefix\": \"klein9b-turbo/img\", \"images\": [\"1\", 0]}, \"class_type\": \"SaveImage\", \"_meta\": {\"title\": \"Save Image\"}}, \"14\": {\"inputs\": {\"text\": \"Analog photo. 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At the base, partially buried in a dune, a corroded industrial air blower is visible. The lighting is diffuse and overcast, highlighting the contrast between the synthetic, wet sheen of the green nylon and the gritty, natural texture of the shoreline.\", \"clip\": [\"6\", 0]}, \"class_type\": \"CLIPTextEncode\", \"_meta\": {\"title\": \"CLIP Text Encode (Positive Prompt)\"}}, \"15\": {\"inputs\": {\"noise_seed\": 500619464913072}, \"class_type\": \"RandomNoise\", \"_meta\": {\"title\": \"RandomNoise\"}}, \"16\": {\"inputs\": {\"unet_name\": \"flux-2-klein-base-9b.safetensors\", \"weight_dtype\": \"default\"}, \"class_type\": \"UNETLoader\", \"_meta\": {\"title\": \"Load Diffusion Model\"}}, \"17\": {\"inputs\": {\"lora_name\": \"klein_9B_Turbo_r128.safetensors\", \"strength_model\": 1.0, \"model\": [\"16\", 0]}, \"class_type\": \"LoraLoaderModelOnly\", \"_meta\": {\"title\": \"LoraLoaderModelOnly\"}}, \"27\": {\"inputs\": {\"scheduler\": \"simple\", \"steps\": 8, \"denoise\": 1.0, \"model\": [\"17\", 0]}, \"class_type\": \"BasicScheduler\", \"_meta\": {\"title\": 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| 23 |
+
"steps": 8,
|
| 24 |
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"denoise": 1,
|
| 25 |
+
"sampler": "Euler",
|
| 26 |
+
"scheduler": "simple",
|
| 27 |
+
"additionalResources": [
|
| 28 |
+
{
|
| 29 |
+
"name": "klein_9B_Turbo_r128.safetensors",
|
| 30 |
+
"type": "lora",
|
| 31 |
+
"strength": 1
|
| 32 |
+
}
|
| 33 |
+
]
|
| 34 |
+
},
|
| 35 |
+
"availability": "Public",
|
| 36 |
+
"hasMeta": true,
|
| 37 |
+
"hasPositivePrompt": false,
|
| 38 |
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"onSite": false,
|
| 39 |
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"remixOfId": null
|
| 40 |
+
}
|
klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617121/model_dict-mid_2324315-vid_2617121.json
ADDED
|
@@ -0,0 +1,302 @@
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klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617165/118238374.jpeg
ADDED
|
Git LFS Details
|
klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617165/118238374.json
ADDED
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@@ -0,0 +1,40 @@
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|
| 23 |
+
"steps": 8,
|
| 24 |
+
"denoise": 1,
|
| 25 |
+
"sampler": "Euler",
|
| 26 |
+
"scheduler": "simple",
|
| 27 |
+
"additionalResources": [
|
| 28 |
+
{
|
| 29 |
+
"name": "klein_9B_Turbo_r64.safetensors",
|
| 30 |
+
"type": "lora",
|
| 31 |
+
"strength": 1
|
| 32 |
+
}
|
| 33 |
+
]
|
| 34 |
+
},
|
| 35 |
+
"availability": "Public",
|
| 36 |
+
"hasMeta": true,
|
| 37 |
+
"hasPositivePrompt": false,
|
| 38 |
+
"onSite": false,
|
| 39 |
+
"remixOfId": null
|
| 40 |
+
}
|
klein-9b/lora/Klein 4B&9B Base to Turbo Lora/extra_data-vid_2617165/model_dict-mid_2324315-vid_2617165.json
ADDED
|
@@ -0,0 +1,302 @@
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"id": 2324315,
|
| 3 |
+
"name": "Klein 4B/9B Base to Turbo Lora",
|
| 4 |
+
"description": "<p>Adds turbo back to the base checkpoint, allows you to control the amount of turbo and thus CFG by adding it to base.</p><p>This was created by subtracting klein-base from klein and creating a LoRA from it.</p>",
|
| 5 |
+
"allowNoCredit": true,
|
| 6 |
+
"allowCommercialUse": "{Image}",
|
| 7 |
+
"allowDerivatives": true,
|
| 8 |
+
"allowDifferentLicense": false,
|
| 9 |
+
"type": "LORA",
|
| 10 |
+
"minor": false,
|
| 11 |
+
"sfwOnly": false,
|
| 12 |
+
"poi": false,
|
| 13 |
+
"nsfw": false,
|
| 14 |
+
"nsfwLevel": 1,
|
| 15 |
+
"availability": "Public",
|
| 16 |
+
"userId": 9246336,
|
| 17 |
+
"cosmetic": null,
|
| 18 |
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"supportsGeneration": false,
|
| 19 |
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"stats": {
|
| 20 |
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"downloadCount": 278,
|
| 21 |
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"thumbsUpCount": 20,
|
| 22 |
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"thumbsDownCount": 0,
|
| 23 |
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"commentCount": 9,
|
| 24 |
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"tippedAmountCount": 10
|
| 25 |
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},
|
| 26 |
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"creator": {
|
| 27 |
+
"username": "anyMODE",
|
| 28 |
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"image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2ed7bcac-d4bc-4998-bd06-d92a56feb465/width=96/anyMODE.jpeg"
|
| 29 |
+
},
|
| 30 |
+
"tags": [
|
| 31 |
+
"base model"
|
| 32 |
+
],
|
| 33 |
+
"modelVersions": [
|
| 34 |
+
{
|
| 35 |
+
"id": 2617121,
|
| 36 |
+
"index": 0,
|
| 37 |
+
"name": "9B rank 128",
|
| 38 |
+
"baseModel": "Flux.2 Klein 9B-base",
|
| 39 |
+
"baseModelType": "Standard",
|
| 40 |
+
"createdAt": "2026-01-21T11:54:20.636Z",
|
| 41 |
+
"publishedAt": "2026-01-21T11:57:19.217Z",
|
| 42 |
+
"status": "Published",
|
| 43 |
+
"availability": "Public",
|
| 44 |
+
"nsfwLevel": 1,
|
| 45 |
+
"covered": false,
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|
| 1 |
+
{
|
| 2 |
+
"id": 2326122,
|
| 3 |
+
"name": "[flux2-klein-9b] Pyro's BJ",
|
| 4 |
+
"description": "<h1 id=\"flux2-klein-9b-pyro's-bj\">[flux2-klein-9b] Pyro's BJ</h1><p></p><p>New Model, New Pyro</p><p></p><p>This is an experimental Lora</p><p><strong>Research: </strong>How few ranks can you get away with?</p><p><strong>Result:</strong> 90MB lora that understands more about anatomy than your biology teacher in 5th grade.</p><p>Also, it's literally the most trainable model I've ever trained with. It's so good I'm going to train it with 100k z-image-turbo images to make my own z-image-base because Alibooba is seemingly toying with our emotions. (If you want to sponsor this project shoot me a msg on discord)</p><p></p><h2 id=\"how-to-use\">How to use?</h2><p></p><p><strong>You can use this model with BASE and DISTILL.</strong> You can also edit images with it amazingly well.</p><p>Use BASE for better prompt adherence</p><p>Use DISTILL for images faster than you can jerk off</p><p></p><p><strong>Pls try my distill workflow attached as TrainingData zip-File before telling me or the world that the distill doesn't work well. Thx.</strong></p><p></p><p>Demo Images should contain workflow</p><p></p><p>In theory the LORA understands following concepts (in practice it's a bit shaky but that's why it's experimental, you'll figure it out):</p><p><strong>General:</strong> a woman sucking a penis</p><p><strong>Chipmunking or whatever this shit is called:</strong> a woman cheeking a penis</p><p><strong>Deepthroat:</strong> a woman swallowing a penis</p><p><strong>What could this be: </strong>a woman licking a penis</p><p><strong>If you want her to look at you in disgust:</strong> pov</p><p></p><p>Will experiment further until I uncovered the mysteries of flux2-klein-9b and prompt adherence is at a point where you trust the LORA more than your mom.</p><p></p><p>Discord: <a target=\"_blank\" rel=\"ugc\" href=\"https://discord.gg/PSa9EMEMCe\">https://discord.gg/PSa9EMEMCe</a></p><p></p><p></p><h2 id=\"technicals:\">Technicals:</h2><p></p><p>Framework: my diffusion-pipe fork: <a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/pyros-projects/diffusion-pipe\">https://github.com/pyros-projects/diffusion-pipe</a></p><p>Dataset: 300imgs split evenly over all sub-concepts</p><p>Training:</p><p>65 epochs with 512p (AdamW - batch 4 - lr 2e-4)</p><p>15 epochs with 768p (Prodigy Schedulefree)</p><p></p><p></p><h2 id=\"version-history:\">Version History:</h2><p></p><p>bj_20260120_22-22-29epoch15_comfy: Initial Release</p><p></p><p></p><p></p><p></p><p></p><p></p>",
|
| 5 |
+
"allowNoCredit": true,
|
| 6 |
+
"allowCommercialUse": "{Image,RentCivit,Rent,Sell}",
|
| 7 |
+
"allowDerivatives": true,
|
| 8 |
+
"allowDifferentLicense": true,
|
| 9 |
+
"type": "LORA",
|
| 10 |
+
"minor": false,
|
| 11 |
+
"sfwOnly": false,
|
| 12 |
+
"poi": false,
|
| 13 |
+
"nsfw": true,
|
| 14 |
+
"nsfwLevel": 60,
|
| 15 |
+
"availability": "Public",
|
| 16 |
+
"userId": 2313031,
|
| 17 |
+
"cosmetic": null,
|
| 18 |
+
"supportsGeneration": false,
|
| 19 |
+
"stats": {
|
| 20 |
+
"downloadCount": 1102,
|
| 21 |
+
"thumbsUpCount": 86,
|
| 22 |
+
"thumbsDownCount": 0,
|
| 23 |
+
"commentCount": 19,
|
| 24 |
+
"tippedAmountCount": 500
|
| 25 |
+
},
|
| 26 |
+
"creator": {
|
| 27 |
+
"username": "pyros_sd_models",
|
| 28 |
+
"image": null
|
| 29 |
+
},
|
| 30 |
+
"tags": [
|
| 31 |
+
"blowjob",
|
| 32 |
+
"concept"
|
| 33 |
+
],
|
| 34 |
+
"modelVersions": [
|
| 35 |
+
{
|
| 36 |
+
"id": 2616688,
|
| 37 |
+
"index": 0,
|
| 38 |
+
"name": "v20260120",
|
| 39 |
+
"baseModel": "Flux.2 Klein 9B",
|
| 40 |
+
"baseModelType": "Standard",
|
| 41 |
+
"createdAt": "2026-01-21T08:27:33.708Z",
|
| 42 |
+
"publishedAt": "2026-01-21T08:35:30.361Z",
|
| 43 |
+
"status": "Published",
|
| 44 |
+
"availability": "Public",
|
| 45 |
+
"nsfwLevel": 60,
|
| 46 |
+
"trainedWords": [
|
| 47 |
+
"pov",
|
| 48 |
+
"licking",
|
| 49 |
+
"cheeking",
|
| 50 |
+
"swallowing",
|
| 51 |
+
"sucking"
|
| 52 |
+
],
|
| 53 |
+
"covered": false,
|
| 54 |
+
"stats": {
|
| 55 |
+
"downloadCount": 1102,
|
| 56 |
+
"thumbsUpCount": 86,
|
| 57 |
+
"thumbsDownCount": 0
|
| 58 |
+
},
|
| 59 |
+
"files": [
|
| 60 |
+
{
|
| 61 |
+
"id": 2504103,
|
| 62 |
+
"sizeKB": 97308.625,
|
| 63 |
+
"name": "bj_20260120_22-22-29epoch15_comfy.safetensors",
|
| 64 |
+
"type": "Model",
|
| 65 |
+
"pickleScanResult": "Success",
|
| 66 |
+
"pickleScanMessage": "No Pickle imports",
|
| 67 |
+
"virusScanResult": "Success",
|
| 68 |
+
"virusScanMessage": null,
|
| 69 |
+
"scannedAt": "2026-01-21T08:30:38.323Z",
|
| 70 |
+
"metadata": {
|
| 71 |
+
"format": "SafeTensor"
|
| 72 |
+
},
|
| 73 |
+
"hashes": {
|
| 74 |
+
"AutoV1": "2608534C",
|
| 75 |
+
"AutoV2": "6CB0F5363E",
|
| 76 |
+
"SHA256": "6CB0F5363ED04D6D6C369F9A2753C1398F7175AB4C543422BDEFC89C7BE9EFE1",
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| 77 |
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"CRC32": "A59DCA29",
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| 78 |
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"BLAKE3": "C326A41DD471E5CC3C2E68F3A5B98FF19DF6BFC172B41213AD5DAC6661F17FCC",
|
| 79 |
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"AutoV3": "04DC5EE8F837"
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| 80 |
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},
|
| 81 |
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"downloadUrl": "https://civitai.com/api/download/models/2616688",
|
| 82 |
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"primary": true
|
| 83 |
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},
|
| 84 |
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{
|
| 85 |
+
"id": 2504821,
|
| 86 |
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"sizeKB": 3.009765625,
|
| 87 |
+
"name": "_pyro_f29b_distill_.zip",
|
| 88 |
+
"type": "Training Data",
|
| 89 |
+
"pickleScanResult": "Success",
|
| 90 |
+
"pickleScanMessage": "No Pickle imports",
|
| 91 |
+
"virusScanResult": "Success",
|
| 92 |
+
"virusScanMessage": null,
|
| 93 |
+
"scannedAt": "2026-01-21T14:15:37.093Z",
|
| 94 |
+
"metadata": {
|
| 95 |
+
"format": "Other"
|
| 96 |
+
},
|
| 97 |
+
"hashes": {
|
| 98 |
+
"AutoV2": "9F55F952D1",
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| 99 |
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"SHA256": "9F55F952D1400815AA05425BCF87BA106C5B44B48CC037E7E904D76BC0F776EB",
|
| 100 |
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"CRC32": "E7E1C033",
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| 101 |
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"BLAKE3": "3BC24BB4139376AD311516271719284AEF2BD5359C4832A23C704B06BFC29829",
|
| 102 |
+
"AutoV3": "578502F6E403"
|
| 103 |
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},
|
| 104 |
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"downloadUrl": "https://civitai.com/api/download/models/2616688?type=Training%20Data"
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| 105 |
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}
|
| 106 |
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],
|
| 107 |
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"images": [
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| 108 |
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{
|
| 109 |
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"url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/76d6ab19-06b1-43af-be0e-9a1b88aadfeb/original=true/118222536.jpeg",
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"nsfwLevel": 16,
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| 111 |
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"height": 515,
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"hash": "UIL{;zb_aeR5~VX8IVRQ-VOFtQtR.SxvxaW;",
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| 114 |
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"type": "image",
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| 115 |
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"minor": false,
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| 116 |
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"poi": false,
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| 117 |
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"hasMeta": false,
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"hasPositivePrompt": false,
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| 119 |
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