<p>I am a <s>deviant</s> gentleman of culture. I haven't been able to reliable add fertilization x-rays to my images(all the LORAs are crap). So my thought process went like this. What if I make a LORA for inpainting and manufacture a clean dataset? Well this is the LORA for inpainting. Only remains to make a shitload of poses with different characters and inpainting on them to make a good dataset for the <a rel="ugc" href="https://civitai.com/models/77264">concept LORA</a>(but that is for the future).</p><h2><strong><em><u>First of all check the instructions in the version Tab!</u></em></strong></h2><p><strong>Edit: 20230526:  finished the concept LORA, if you don't need it for inpainting use </strong><a rel="ugc" href="https://civitai.com/models/77264"><strong>that </strong></a><strong>instead.</strong></p><p><strong>Edit (hopefully final) 20230524 : Finished a stylized heart shaped impregnation LOCON. Seems to have good repeatability and seems rather reliable. With that one V4.1 I consider this project done and will move back to character LORAs and to doing a generalist impregnation LORA(which will likely be in the 4.1 style). Sadly reliability increases with the version so the first ones might be iffy.</strong></p><p><strong>The LORAS specialize as following:</strong></p><ul><li><p><strong>V1, V2 and V3(192 and 512) for a semi 3d cropped style.</strong></p></li><li><p><strong>V3(128) and V4(Locon) for a semi stylized ovum surrounded style.</strong></p></li><li><p><strong>V4.1(Locon) stylized heart in the nucleus style.</strong></p></li></ul><p></p><p></p><p><strong>Edit (Again) 20230523 : Once again cleaned and simplified the dataset, this time tried making it a LOCON to see if i could catch more details. I was able to make it more reliable as long as it is a spherical cow in space or a mostly round or square inpaint mask of the appropriate size.</strong></p><p><strong>I have another Iteration in the works but this particular project has me a bit burnt out.</strong></p><p></p><p>BTW: Leave me a review and some feedback will you! This was a lot of work.</p><p></p><p><strong>Ignore the crossed out stuff Below. I just finished V3 in 3 sizes 128, 192 and 512.</strong></p><p>I recommend to take the following precautions:</p><ul><li><p>Use the LORA which more closely matches the available space</p></li><li><p>192 seems to be an evil resolution(even if it is a multiple of 64), it you are going to use it remember to set the inpaint area to only masked and set the resolution to 192x192(it won't change the size of your image but will only pay attention to that area)</p></li><li><p>Using a wrongly sized LORa works but if the Lora is for a smaller resolution the image will be smaller or maybe repeated. If the Lora is bigger, the in painted part will be extra large and cropped.</p></li><li><p>Use denoising strength = 1 Anything below that has given me subpar results.</p></li><li><p>I recommend to use latent noise or latent nothing. Other setting work but YMMV.</p></li><li><p>Setting the inPaint area to only masked helps with distortion.</p></li><li><p>The lora seems stable in all the range but it is a bit hard to know if it is overfit due to it being rather simplistic.</p></li><li><p>Either use 128 or 512 unless you really need something in the middle then make sure to follow the suggestion for 192.</p></li><li><p>Check the color images I added to see more or less how big the inpaint image will look. Red is 128, Blue is 192, green is 256 and Yellow is 512.</p></li></ul><p></p><p>I pretty much restarted from scratch removing from my dataset all the speech bubbles(as i was unable to control their alignment). Also rotated everything to reduce orientation bias.</p><p>Also added the 128 size LORA as that size is a lot easier to inpaint, as it is sometimes hard to find a larger space.</p><p></p><p></p><p>In the gallery i will add the originals and the inpainted versions of the examples.</p><p></p><p>I'll add the dataset as it might be useful in the future, also the tag summary but i doubt that one will be useful as i pruned most of it as they were false positives.</p><p></p><p><s>I seem to get good results using: &lt;lora:fertilization:1&gt;, fertilization, ovum, (sperm_cell:1.2)</s></p><p><s>Use latent noise or latent nothing otherwise the existing stuff will get on the way. I recommend to use it at denoise 1, if you want to lower it to get transparency YMMV.</s></p><p><s>Also be mindful of the space you give it, if it too small it might omit something.</s></p><p></p><p></p><p><s>*Edit: if you use it in a full image it works like a weird background.</s></p><p><s>*Edit2: Working on a V2, will probably consolidate everything under Fertilization as depending on the inpaint shape you can get both ovum and sperm or just one of them which can get annoying specially for batch inpaints. My other gripe is the size of the stuff in the inpaint, If I am not convinced with V2, I will tweak the dataset to make the images take less space of the training area to see if I can get it to try to be more compact.</s></p>
Public
SD 1.5
Standard
<p><strong><em><u>Abandon variety embrace repeatability!</u></em></strong></p><p>A stylized version using a heart shaped ovum. Mostly a synthetic dataset. Has high repeatability and reliability as long as the inpaint space is symmetrical.</p><p>Requires the following:</p><ul><li><p>I like it most at .95 strength(why? I don't know, but i think there's more sperm at 1 which overloads the image a bit.)</p></li><li><p>a symmetric inpaint area</p></li><li><p>Latent Nothing</p></li><li><p>Only masked</p></li><li><p>padding pixels: 0</p></li><li><p>Width and and height: calculate what you want by looking at the colored pictures and match it to your available inpaint area then copy the written resolution from the image that looks the best to you. </p></li><li><p>For the guide images: Red is 128, Blue is 192, green is 256 and Yellow is 512.</p></li><li><p>Denoise strenght:1</p></li><li><p>Mask transparency 0 or better yet use your own mask file.</p></li><li><p>Check the attached configuration screenshot if you have a doubt.</p></li></ul><p>This is totally different to the other ones with a dataset created from scratch. I thought that maybe i should post it separately but nah!</p><p>I finally happy with this one. It is likely the end product. I will use it to make a synthetic dataset for a generalized fertilization LORA in the future.</p>
https://civitai.com/api/download/models/79997
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https://civitai.com/api/download/models/79997?type=Training%20Data
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Other
data49h.zip
No Pickle imports
Success
2023-05-24T17:31:16.740Z
Training Data
Success
https://civitai.com/api/download/models/79997
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SafeTensor
FertAnimV2.safetensors
No Pickle imports
Success
2023-05-24T17:01:23.890Z
Model
Success
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v4.1 Heart Locon 128x128
2023-05-24T17:04:00.412Z
fertanim
Public
SD 1.5
Standard
<p>I have attained repeatability but at what cost?</p><p><strong><em><u>Warning: This version is a LOCON</u></em></strong></p><p>Requires the following:</p><ul><li><p>a circle or square with the approximate 128 pix of diameter or side</p></li><li><p>Latent Nothing</p></li><li><p>Only masked</p></li><li><p>padding pixels: 0</p></li><li><p>Width and and height either image size or 128x128</p></li><li><p>Denoise strenght:1</p></li><li><p>Mask transparency 0 or better yet use your own mask file. I added the mask file together with the original image(before inpainting)  in the gallery.</p></li></ul><p>After this I once again started from scratch I am thinking about going for the simpler stylized "heart in the middle" style with a mostly synthetic dataset. My dream of an automatic impregnation Lora seems to be going further as even if i manage to make a good synthetic dataset how well will the speech bubbles be repeated if I am having so much trouble with repeatability in inpaint?</p>
https://civitai.com/api/download/models/79467
https://civitai.com/api/download/models/79467
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InpaintFertilization128.safetensors
No Pickle imports
Success
2023-05-24T04:31:22.416Z
Model
Success
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v4.0 Locon 128x128
2023-05-24T04:34:05.502Z
inpaintfertilization128, (symmetry:.8), pink_background,  inpaintfertilization128, (symmetry:.8), transparent_background,  inpaintfertilization128, (symmetry:.8), black_background, 
Public
SD 1.5
Standard
<p>This seems to be the most useful one due to it's size.</p>
https://civitai.com/api/download/models/75337
https://civitai.com/api/download/models/75337?type=Training%20Data
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Other
train3.zip
No Pickle imports
Success
2023-05-19T21:26:14.268Z
Training Data
Success
https://civitai.com/api/download/models/75337
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SafeTensor
InpaintFertilization128.safetensors
No Pickle imports
Success
2023-05-19T21:26:17.320Z
Model
Success
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v3.0 Small 128x128
2023-05-19T21:29:00.356Z
InpaintFertilization128
Public
SD 1.5
Standard
<p>This one is a bit problematic SD seems to dislike this resolution. Make sure to set inpainting area to only masked and set the height and width to 192. </p>
https://civitai.com/api/download/models/75333
https://civitai.com/api/download/models/75333?type=Training%20Data
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Other
train2.zip
No Pickle imports
Success
2023-05-19T21:21:15.748Z
Training Data
Success
https://civitai.com/api/download/models/75333
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InpaintFertilization192.safetensors
No Pickle imports
Success
2023-05-19T21:21:39.352Z
Model
Success
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v3.0 Medium 192x192
2023-05-19T21:23:12.901Z
InpaintFertilization192
Public
SD 1.5
Standard
<p>Lora trained on 512x512 images. If you are inpainting in a image before upscaling the result might be too big. only use it if you have a lot of free space to inpaint in your image.</p>
https://civitai.com/api/download/models/75324
https://civitai.com/api/download/models/75324?type=Training%20Data
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Other
train.zip
No Pickle imports
Success
2023-05-19T21:11:22.213Z
Training Data
Success
https://civitai.com/api/download/models/75324
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SafeTensor
InpaintFertilization512.safetensors
No Pickle imports
Success
2023-05-19T21:11:16.077Z
Model
Success
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v3.0 Big 512x512
2023-05-19T21:14:39.149Z
InpaintFertilization512
Public
SD 1.5
Standard
<p>This is actually V4 but then again 2 and 3 while not bad were not a great improvement. To train this I modified the dataset to be 192x192. This way I was able to regularize the size of the image in the in painting zone. On the other hand if the zone is too big you might get duplicates or weird stretching. If there's demand I might try to make a 256 version. V1 is of course 512.</p><p>I might give this another try doing adding vertical flip as i saw some bias. I am not sure about the speech bubbles of some of the dataset as they often appear pointing the wrong way(as expected).</p><p>I recommend to use:</p><ul><li><p>Try to make the impaint area close to 192x192 or if smaller try making it either round or square.</p></li><li><p>Lora Weight: 1</p></li><li><p>imprint area: only masked</p></li><li><p>Denoising strength: 1</p></li></ul>
https://civitai.com/api/download/models/74412
https://civitai.com/api/download/models/74412?type=Training%20Data
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data.zip
No Pickle imports
Success
2023-05-18T22:41:32.205Z
Training Data
Success
https://civitai.com/api/download/models/74412
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SafeTensor
FertilizationV4.safetensors
No Pickle imports
Success
2023-05-18T22:41:26.837Z
Model
Success
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v2.0 192x192 dataset
2023-05-18T23:19:23.167Z
InpaintFertilization
Public
SD 1.5
Standard
https://civitai.com/api/download/models/73643
https://civitai.com/api/download/models/73643?type=Training%20Data
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data.zip
No Pickle imports
Success
2023-05-18T01:16:32.233Z
Training Data
Success
https://civitai.com/api/download/models/73643
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SafeTensor
fertilization.safetensors
No Pickle imports
Success
2023-05-18T01:16:28.006Z
Model
Success
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v1.0 512x512 dataset
2023-05-18T01:19:21.342Z
fertilization, ovum, (sperm_cell:1.2)
Fertilization for Inpainting
concept inpainting x-ray impregnation fertilization