| { | |
| "id": 42247, | |
| "modelId": 36070, | |
| "name": "v1.0", | |
| "createdAt": "2023-04-10T23:45:35.011Z", | |
| "updatedAt": "2023-04-10T23:52:05.486Z", | |
| "trainedWords": [ | |
| "realisticvision-negative-embedding" | |
| ], | |
| "baseModel": "SD 1.5", | |
| "earlyAccessTimeFrame": 0, | |
| "description": "<p>Trained for 5342 steps on 5230 512x768 images (I hit stop a bit too late heh). The basic training parameters are 0.005 base learning rate, batch size 1, 1 grad, CosingAnnealingWarmupRestarts Scheduler activated with a 500 step cycle, advanced adamW parameter options were activated but not otherwise touched. No captions were made or used, style.txt was used as the prompt template file. I ran 1 batch because I decided to turn off xformers, and all my card could hand was a batch size of 1 512x768. Barely. The extension I used for training was <a rel=\"ugc\" href=\"https://github.com/aria1th/Hypernetwork-MonkeyPatch-Extension\">this one</a>.</p><p>Due to the content of the training images I will not be uploading them, instead I will point to the reddit post from which I derived the training image prompt: <a rel=\"ugc\" href=\"https://www.reddit.com/r/StableDiffusion/comments/12fuc2b/realistic_battle_6_models_with_the_same_prompt/jfj0wgn/\">link</a>. In order to generate the training images you would need to put the negative prompt into the positive, put the positive into the negative, and remove all subject focused words. All other parameters should be the same- such as the step count and cfg, sampler and so on.</p>", | |
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| "name": "Negative Embedding for Realistic Vision v2.0", | |
| "type": "TextualInversion", | |
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| "Model": "realisticVisionV20_v20", | |
| "steps": 25, | |
| "hashes": { | |
| "model": "c0d1994c73" | |
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| "prompt": "b&w photo of 42 y.o man in black clothes, bald, face, half body, body, high detailed skin, skin pores, coastline, overcast weather, wind, waves, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3", | |
| "sampler": "Euler a", | |
| "cfgScale": 7, | |
| "resources": [ | |
| { | |
| "hash": "c0d1994c73", | |
| "name": "realisticVisionV20_v20", | |
| "type": "model" | |
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| "Model hash": "c0d1994c73", | |
| "Hires upscale": "1.5", | |
| "Hires upscaler": "Latent", | |
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| "Denoising strength": "0.5" | |
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| "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2c32be8e-c7f3-4f66-04f3-9b857196b100/width=450/463924.jpeg", | |
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| "height": 960, | |
| "hash": "UqIE|gt7%Mxu~qt7j[ay%MRjWBWBofRjWBWB", | |
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| "ENSD": "31337", | |
| "Size": "384x640", | |
| "seed": 101837751, | |
| "Model": "realisticVisionV20_v20", | |
| "steps": 25, | |
| "hashes": { | |
| "model": "c0d1994c73" | |
| }, | |
| "prompt": "b&w photo of 42 y.o man in black clothes, bald, face, half body, body, high detailed skin, skin pores, coastline, overcast weather, wind, waves, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3", | |
| "sampler": "Euler a", | |
| "cfgScale": 7, | |
| "resources": [ | |
| { | |
| "hash": "c0d1994c73", | |
| "name": "realisticVisionV20_v20", | |
| "type": "model" | |
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| "Model hash": "c0d1994c73", | |
| "Hires upscale": "1.5", | |
| "Hires upscaler": "Latent", | |
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| "Denoising strength": "0.5" | |
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| "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/11c5d3bf-245d-46e0-0f25-1a97de276c00/width=450/463930.jpeg", | |
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| "height": 960, | |
| "hash": "UlIrELt7-;xu~qt7j[j[%MM{RjWBxuRjj[j[", | |
| "meta": { | |
| "ENSD": "31337", | |
| "Size": "384x640", | |
| "seed": 101837751, | |
| "Model": "realisticVisionV20_v20", | |
| "steps": 25, | |
| "hashes": { | |
| "model": "c0d1994c73" | |
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| "prompt": "b&w photo of 42 y.o man in black clothes, bald, face, half body, body, high detailed skin, skin pores, coastline, overcast weather, wind, waves, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3", | |
| "sampler": "Euler a", | |
| "cfgScale": 7, | |
| "resources": [ | |
| { | |
| "hash": "c0d1994c73", | |
| "name": "realisticVisionV20_v20", | |
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| "Model hash": "c0d1994c73", | |
| "Hires upscale": "1.5", | |
| "Hires upscaler": "Latent", | |
| "negativePrompt": "by realisticvision-negative-embedding", | |
| "Denoising strength": "0.5" | |
| } | |
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| "Model": "realisticVisionV20_v20", | |
| "steps": 25, | |
| "hashes": { | |
| "model": "c0d1994c73" | |
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| "prompt": "close up photo of a rabbit, forest, haze, halation, bloom, dramatic atmosphere, centred, rule of thirds, 200mm 1.4f macro shot", | |
| "sampler": "Euler a", | |
| "cfgScale": 7, | |
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| "Denoising strength": "0.5" | |
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| "seed": 2299724292, | |
| "Model": "realisticVisionV20_v20", | |
| "steps": 25, | |
| "hashes": { | |
| "model": "c0d1994c73" | |
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| "prompt": "close up photo of a rabbit, forest, haze, halation, bloom, dramatic atmosphere, centred, rule of thirds, 200mm 1.4f macro shot", | |
| "sampler": "Euler a", | |
| "cfgScale": 7, | |
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| "Denoising strength": "0.5" | |
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