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- Diffusers
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pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mirroring/civitai_mirror", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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- Draw Things
- DiffusionBee
Commit ·
532d159
1
Parent(s): 4c1229b
Upload /models/Lora/cuplessCrotchless_v125.civitai.info with huggingface_hub
Browse files
models/Lora/cuplessCrotchless_v125.civitai.info
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{
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"id": 27873,
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"modelId": 23319,
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"name": "v1.25",
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"createdAt": "2023-03-23T13:58:00.588Z",
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"updatedAt": "2023-03-24T20:31:00.236Z",
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"trainedWords": [
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"panties",
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"crotchless",
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"crotchless panties",
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"bra",
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"cupless bra",
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"pussy",
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"nipples"
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],
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"baseModel": "SD 1.5",
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"earlyAccessTimeFrame": 0,
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"description": "<p>Generate using a <strong>weight </strong>of <strong>0.6-1</strong> like this: <strong><lora:CuplessCrotchlessv125:0.8>.</strong></p><p><br />This version is here mostly for me, as a way to save it. Feel free to try it but I <strong>recommend using V1.20</strong>, there's <em>literally no improvement from going over 20 epochs.</em></p><p><br />How I archived my generations:</p><ol><li><p>txt2img: <strong>DPM++ SDE Karras </strong>with <strong>20 steps</strong>, <strong>512x512</strong>(can go up to 768 for wide or tall), <strong>Restore faces on</strong> (using <strong>CodeFormer</strong> weight <strong>1.0</strong> in Settings), <strong>Hires-fix on</strong>, to <strong>1024x1024</strong> (double original size) with your preferred upscaler and <strong>Denoise 0.4</strong>, <strong>CFG 7</strong>. Then <strong>send to img2img</strong>!</p></li><li><p>img2img: <strong>DPM++ SED Karras</strong> with <strong>20 steps</strong>, <strong>Restore faces on</strong> (<strong>CodeFormer </strong>weight <strong>1</strong>), <strong>rescale </strong>to <strong>1536x1536</strong>, <strong>CFG 7</strong>, <strong>Denoise </strong>between <strong>0.3-0.7</strong> (based on how much you want to improve the image),<strong> SAME PROMPT</strong>! <strong>Send to extras</strong> when happy with img2img/inpaint results.</p></li><li><p>extras: <strong>Scale</strong> to <strong>x3 </strong>(final will be 4608x4608, I suggest going lower, I did x3 just for the samples here) <strong>Upscaler 1 - FatalAnime 4x</strong>, <strong>Upscaler 2 - SwinIR 4x </strong>with <strong>0.10 visibility</strong>, <strong>GFPGAN 0.10 visibility</strong>, <strong>CodeFormer 0.10 visibility</strong>.</p></li></ol><p></p><p><em>If anyone is curious about my </em><strong><em>version names</em></strong><em>: </em><strong><em>v</em></strong><em>{</em><strong><em>version</em></strong><em>}</em><strong><em>.</em></strong><em>{</em><strong><em>trainingEpochs</em></strong><em>}</em></p>",
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"model": {
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"name": "Cupless | Crotchless - [CLOTHING][ANIME]",
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"type": "LoCon",
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"nsfw": true,
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"poi": false
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},
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"files": [
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{
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"name": "cuplessCrotchless_v125.safetensors",
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"id": 23024,
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"sizeKB": 22871.724609375,
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"type": "Model",
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"format": "SafeTensor",
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"pickleScanResult": "Success",
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"pickleScanMessage": "No Pickle imports",
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"primary": true,
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"downloadUrl": "https://civitai.com/api/download/models/27873"
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}
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],
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"images": [
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{
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"url": "https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a65f3702-e4be-4fc0-eff5-22c2f8cc9100/width=450/313060",
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"downloadUrl": "https://civitai.com/api/download/models/27873"
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}
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