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      "description": "Hey all! Welcome to my LoRA training guide using purely synthetic (AI generated, no human-drawn data) data of Wendy Cupcake Moon (Co-owned by [iconname]ManicMoon[/iconname] and [iconname]Leprechaun[/iconname]). I found a lot of guides online how to train LoRA’s from existing images of established franchises, but very little if you want to train a LoRA of an OC where you start of with a single image, so I decided to write my own.\n\nWith my own cubs I did a whole lot of stuff that turned out to be unnecessarily complicated, so I figured as I was training [url=https://mega.nz/file/emJWjSgR#ETn38tPCBMmcJyo_WHhyvpic9bO7gQXelNH0u0lOgRc]Wendy's LoRA[/url] anyway I could type up a description of the streamlined process.\n\nThis guide assumes you’re already relatively familiar with AI generation, either with ComfyUI, Automatic1111, or Forge. You should also have basic MS paint skills.\n\nIt might be easiest to follow from the lora training guide.doc I've uploaded as the second-to-last file to this submission, as then the images follow the text.\n\n[t]Tools[/t]:\n- Tagui\n    https://github.com/jhc13/taggui\n- OneTrainer\n    https://github.com/Nerogar/OneTrainer\n- Background remover\n    https://github.com/danielgatis/rembg\n- Krita\n    https://krita.org/en/\n- NovaFurryXL\n   https://civitai.com/models/503815/nova-furry-xl\n\nMake sure you have all three tools properly installed. I won’t repeat their installation instructions you can find them on the github.\n\n[t]Preparing the data set[/t]\n\n[t]Background removal and inpainting[/t]\nFor the training we need different colored backgrounds, so every time you see the background switch color I removed the background with background remover, then added in different colored backgrounds. I then used inpainting with moderate noise (0.6) on the edges to make them blend into the background better (Inpainting tells Stable Diffusion that it’s only allowed to change the selected parts, it should leave the rest alone. For example in image 1 I’ve marked the edges as “changeable”. If you haven’t used it before, I would look up a tutorial on how to do it as it’ll be important for the rest of this tutorial)\n\n[t]Converting a single image into many[/t]\n\nFirst, start with a proper reference image. A full body shot, with a plain background. You can’t really train a LoRA well on a single image, so we’ll be preparing some images based on image 2.\n\nNext, upscale her head. Then use inpainting to change the expression. Make sure that any markings or other distinguishing features are left alone, to make sure they’re as alike as possible. That resulted in image 3-5.\n\nTo have at least one variation in posing, I’ve used her upscaled head and repositioned her limbs a bit (image 6), nothing a round of inpainting can’t fix (image 7).\n\nWe have three closeups, but we also want to give her some different outfits in case you ever want to change her outfit. Easily done by quick MS paint job and subsequent inpainting (image 8-11).\n\nThen the collection is finished!\n\n[t]Tagging the dataset[/t]\n\nCollect all images in one directory, without other images. We’re going to use taggui to create text files with the same name as the images, that will help the LoRA understand what exactly it should train.\n\nStart with an unique tag so the model doesn’t know it yet. I chose wendy_manicmoon_leprechaun as Wendy is co-owned by ManicMoon and Leprechaun.\n\nWith Taggui, you should basically tag anything you don’t want to train the model for, as extensive as possible. Any tag you add during training the model’ll think “oh, I know how to make a blue background, I don’t need training for that”. Take for example the bikini version: I don’t want to always add a bikini, so I tag it during training. I do always want to add a dog collar, so I don’t mention it during training. I want Wendy to have a variety of poses and expressions, so I tag those properly as well. I end up with the following tags:\n\nwendy_manicmoon_leprechaun, pink bikini, smiling, wings spread, blue background, full body reference, front view, waving, spread legs\n\nI wouldn’t use autotaggers, they’ll also try to add tags like “golden eyes” etc., which you don’t want to tag (because you want the LoRA to associate golden eyes with wendy_manicmoon_leprechaun). It’s only eight images anyway.\n\n[t]Training[/t]\n\nThen the training itself. You can start with wendy_config.config.txt. Add it to OneTrainer/training_presets so it shows up in the menu (and remove the .txt extension).\n\nYou need to add the pictures and tag files as a concept (image 12). Pick the correct path to the images, and make sure from text file per sample is turned on (image 14).\n\nYou want to point the base model to the last Novafurry model. Make sure in the top right SDXL and LoRA are selected (image 13).\n\nFinally put epochs to 2000 / number of images you have. I have 8, so number of epochs is 250. Click start training and wait. Done! (image 15)\n\n[t]Using the LoRA[/t]\n\nAwesome! You trained a LoRA. Now to use it. You still need to help Stable Diffusion by using all the same tags as before, but now the renders will look very alike at least.\n\nAs an example (image 16):\n\nanthro,female,cat,high quality,highest quality,masterpiece,beautiful fur, detailed fur,black fur,black skin,pink collar, black short hair,very small breasts,detailed hands,beautiful hands,plain gray background,full body shot, pink tail, bushy tail,lop eared,pink ear fur, detailed ears,detailed tail,bat wings,detailed wings, beautiful wings,fluffy_tail,thick_tail,broad_tail,huge_tail,dog tail,,solo,1girl,black pawpads,,nude,orgasm,masturbation,spread legs,sitting,wendy_manicmoon_leprechaun, <lora:wendy_IL_NovaFurry:1>,child, young,heart mark on tail, tail ends in black fur\n\nYou can now also reposition the character (for instance make a side view of her). Because the model is undertrained for side views (we didn’t include side views in our training data) the result may have a lot of mistakes (image 17). Fix those with inpainting (image 18)).\n\nAfterwards, you can use the pictures you generate with the LoRA as additional training data. I’ve heard that 10 full body shots in different poses, 10 partial body shots and 10 close ups with different expressions would be “best”, but really, quality is better than quantity.",
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      "description": "Hey all! Welcome to my LoRA training guide using purely synthetic (AI generated, no human-drawn data) data of Wendy Cupcake Moon (Co-owned by [iconname]ManicMoon[/iconname] and [iconname]Leprechaun[/iconname]). I found a lot of guides online how to train LoRA’s from existing images of established franchises, but very little if you want to train a LoRA of an OC where you start of with a single image, so I decided to write my own.\n\nWith my own cubs I did a whole lot of stuff that turned out to be unnecessarily complicated, so I figured as I was training [url=https://mega.nz/file/emJWjSgR#ETn38tPCBMmcJyo_WHhyvpic9bO7gQXelNH0u0lOgRc]Wendy's LoRA[/url] anyway I could type up a description of the streamlined process.\n\nThis guide assumes you’re already relatively familiar with AI generation, either with ComfyUI, Automatic1111, or Forge. You should also have basic MS paint skills.\n\nIt might be easiest to follow from the lora training guide.doc I've uploaded as the second-to-last file to this submission, as then the images follow the text.\n\n[t]Tools[/t]:\n- Tagui\n    https://github.com/jhc13/taggui\n- OneTrainer\n    https://github.com/Nerogar/OneTrainer\n- Background remover\n    https://github.com/danielgatis/rembg\n- Krita\n    https://krita.org/en/\n- NovaFurryXL\n   https://civitai.com/models/503815/nova-furry-xl\n\nMake sure you have all three tools properly installed. I won’t repeat their installation instructions you can find them on the github.\n\n[t]Preparing the data set[/t]\n\n[t]Background removal and inpainting[/t]\nFor the training we need different colored backgrounds, so every time you see the background switch color I removed the background with background remover, then added in different colored backgrounds. I then used inpainting with moderate noise (0.6) on the edges to make them blend into the background better (Inpainting tells Stable Diffusion that it’s only allowed to change the selected parts, it should leave the rest alone. For example in image 1 I’ve marked the edges as “changeable”. If you haven’t used it before, I would look up a tutorial on how to do it as it’ll be important for the rest of this tutorial)\n\n[t]Converting a single image into many[/t]\n\nFirst, start with a proper reference image. A full body shot, with a plain background. You can’t really train a LoRA well on a single image, so we’ll be preparing some images based on image 2.\n\nNext, upscale her head. Then use inpainting to change the expression. Make sure that any markings or other distinguishing features are left alone, to make sure they’re as alike as possible. That resulted in image 3-5.\n\nTo have at least one variation in posing, I’ve used her upscaled head and repositioned her limbs a bit (image 6), nothing a round of inpainting can’t fix (image 7).\n\nWe have three closeups, but we also want to give her some different outfits in case you ever want to change her outfit. Easily done by quick MS paint job and subsequent inpainting (image 8-11).\n\nThen the collection is finished!\n\n[t]Tagging the dataset[/t]\n\nCollect all images in one directory, without other images. We’re going to use taggui to create text files with the same name as the images, that will help the LoRA understand what exactly it should train.\n\nStart with an unique tag so the model doesn’t know it yet. I chose wendy_manicmoon_leprechaun as Wendy is co-owned by ManicMoon and Leprechaun.\n\nWith Taggui, you should basically tag anything you don’t want to train the model for, as extensive as possible. Any tag you add during training the model’ll think “oh, I know how to make a blue background, I don’t need training for that”. Take for example the bikini version: I don’t want to always add a bikini, so I tag it during training. I do always want to add a dog collar, so I don’t mention it during training. I want Wendy to have a variety of poses and expressions, so I tag those properly as well. I end up with the following tags:\n\nwendy_manicmoon_leprechaun, pink bikini, smiling, wings spread, blue background, full body reference, front view, waving, spread legs\n\nI wouldn’t use autotaggers, they’ll also try to add tags like “golden eyes” etc., which you don’t want to tag (because you want the LoRA to associate golden eyes with wendy_manicmoon_leprechaun). It’s only eight images anyway.\n\n[t]Training[/t]\n\nThen the training itself. You can start with wendy_config.config.txt. Add it to OneTrainer/training_presets so it shows up in the menu (and remove the .txt extension).\n\nYou need to add the pictures and tag files as a concept (image 12). Pick the correct path to the images, and make sure from text file per sample is turned on (image 14).\n\nYou want to point the base model to the last Novafurry model. Make sure in the top right SDXL and LoRA are selected (image 13).\n\nFinally put epochs to 2000 / number of images you have. I have 8, so number of epochs is 250. Click start training and wait. Done! (image 15)\n\n[t]Using the LoRA[/t]\n\nAwesome! You trained a LoRA. Now to use it. You still need to help Stable Diffusion by using all the same tags as before, but now the renders will look very alike at least.\n\nAs an example (image 16):\n\nanthro,female,cat,high quality,highest quality,masterpiece,beautiful fur, detailed fur,black fur,black skin,pink collar, black short hair,very small breasts,detailed hands,beautiful hands,plain gray background,full body shot, pink tail, bushy tail,lop eared,pink ear fur, detailed ears,detailed tail,bat wings,detailed wings, beautiful wings,fluffy_tail,thick_tail,broad_tail,huge_tail,dog tail,,solo,1girl,black pawpads,,nude,orgasm,masturbation,spread legs,sitting,wendy_manicmoon_leprechaun, <lora:wendy_IL_NovaFurry:1>,child, young,heart mark on tail, tail ends in black fur\n\nYou can now also reposition the character (for instance make a side view of her). Because the model is undertrained for side views (we didn’t include side views in our training data) the result may have a lot of mistakes (image 17). Fix those with inpainting (image 18)).\n\nAfterwards, you can use the pictures you generate with the LoRA as additional training data. I’ve heard that 10 full body shots in different poses, 10 partial body shots and 10 close ups with different expressions would be “best”, but really, quality is better than quantity."
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  "description": "Hey all! Welcome to my LoRA training guide using purely synthetic (AI generated, no human-drawn data) data of Wendy Cupcake Moon (Co-owned by [iconname]ManicMoon[/iconname] and [iconname]Leprechaun[/iconname]). I found a lot of guides online how to train LoRA’s from existing images of established franchises, but very little if you want to train a LoRA of an OC where you start of with a single image, so I decided to write my own.\n\nWith my own cubs I did a whole lot of stuff that turned out to be unnecessarily complicated, so I figured as I was training [url=https://mega.nz/file/emJWjSgR#ETn38tPCBMmcJyo_WHhyvpic9bO7gQXelNH0u0lOgRc]Wendy's LoRA[/url] anyway I could type up a description of the streamlined process.\n\nThis guide assumes you’re already relatively familiar with AI generation, either with ComfyUI, Automatic1111, or Forge. You should also have basic MS paint skills.\n\nIt might be easiest to follow from the lora training guide.doc I've uploaded as the second-to-last file to this submission, as then the images follow the text.\n\n[t]Tools[/t]:\n- Tagui\n    https://github.com/jhc13/taggui\n- OneTrainer\n    https://github.com/Nerogar/OneTrainer\n- Background remover\n    https://github.com/danielgatis/rembg\n- Krita\n    https://krita.org/en/\n- NovaFurryXL\n   https://civitai.com/models/503815/nova-furry-xl\n\nMake sure you have all three tools properly installed. I won’t repeat their installation instructions you can find them on the github.\n\n[t]Preparing the data set[/t]\n\n[t]Background removal and inpainting[/t]\nFor the training we need different colored backgrounds, so every time you see the background switch color I removed the background with background remover, then added in different colored backgrounds. I then used inpainting with moderate noise (0.6) on the edges to make them blend into the background better (Inpainting tells Stable Diffusion that it’s only allowed to change the selected parts, it should leave the rest alone. For example in image 1 I’ve marked the edges as “changeable”. If you haven’t used it before, I would look up a tutorial on how to do it as it’ll be important for the rest of this tutorial)\n\n[t]Converting a single image into many[/t]\n\nFirst, start with a proper reference image. A full body shot, with a plain background. You can’t really train a LoRA well on a single image, so we’ll be preparing some images based on image 2.\n\nNext, upscale her head. Then use inpainting to change the expression. Make sure that any markings or other distinguishing features are left alone, to make sure they’re as alike as possible. That resulted in image 3-5.\n\nTo have at least one variation in posing, I’ve used her upscaled head and repositioned her limbs a bit (image 6), nothing a round of inpainting can’t fix (image 7).\n\nWe have three closeups, but we also want to give her some different outfits in case you ever want to change her outfit. Easily done by quick MS paint job and subsequent inpainting (image 8-11).\n\nThen the collection is finished!\n\n[t]Tagging the dataset[/t]\n\nCollect all images in one directory, without other images. We’re going to use taggui to create text files with the same name as the images, that will help the LoRA understand what exactly it should train.\n\nStart with an unique tag so the model doesn’t know it yet. I chose wendy_manicmoon_leprechaun as Wendy is co-owned by ManicMoon and Leprechaun.\n\nWith Taggui, you should basically tag anything you don’t want to train the model for, as extensive as possible. Any tag you add during training the model’ll think “oh, I know how to make a blue background, I don’t need training for that”. Take for example the bikini version: I don’t want to always add a bikini, so I tag it during training. I do always want to add a dog collar, so I don’t mention it during training. I want Wendy to have a variety of poses and expressions, so I tag those properly as well. I end up with the following tags:\n\nwendy_manicmoon_leprechaun, pink bikini, smiling, wings spread, blue background, full body reference, front view, waving, spread legs\n\nI wouldn’t use autotaggers, they’ll also try to add tags like “golden eyes” etc., which you don’t want to tag (because you want the LoRA to associate golden eyes with wendy_manicmoon_leprechaun). It’s only eight images anyway.\n\n[t]Training[/t]\n\nThen the training itself. You can start with wendy_config.config.txt. Add it to OneTrainer/training_presets so it shows up in the menu (and remove the .txt extension).\n\nYou need to add the pictures and tag files as a concept (image 12). Pick the correct path to the images, and make sure from text file per sample is turned on (image 14).\n\nYou want to point the base model to the last Novafurry model. Make sure in the top right SDXL and LoRA are selected (image 13).\n\nFinally put epochs to 2000 / number of images you have. I have 8, so number of epochs is 250. Click start training and wait. Done! (image 15)\n\n[t]Using the LoRA[/t]\n\nAwesome! You trained a LoRA. Now to use it. You still need to help Stable Diffusion by using all the same tags as before, but now the renders will look very alike at least.\n\nAs an example (image 16):\n\nanthro,female,cat,high quality,highest quality,masterpiece,beautiful fur, detailed fur,black fur,black skin,pink collar, black short hair,very small breasts,detailed hands,beautiful hands,plain gray background,full body shot, pink tail, bushy tail,lop eared,pink ear fur, detailed ears,detailed tail,bat wings,detailed wings, beautiful wings,fluffy_tail,thick_tail,broad_tail,huge_tail,dog tail,,solo,1girl,black pawpads,,nude,orgasm,masturbation,spread legs,sitting,wendy_manicmoon_leprechaun, <lora:wendy_IL_NovaFurry:1>,child, young,heart mark on tail, tail ends in black fur\n\nYou can now also reposition the character (for instance make a side view of her). Because the model is undertrained for side views (we didn’t include side views in our training data) the result may have a lot of mistakes (image 17). 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{
  "description": "Hey all! Welcome to my LoRA training guide using purely synthetic (AI generated, no human-drawn data) data of Wendy Cupcake Moon (Co-owned by [iconname]ManicMoon[/iconname] and [iconname]Leprechaun[/iconname]). I found a lot of guides online how to train LoRA’s from existing images of established franchises, but very little if you want to train a LoRA of an OC where you start of with a single image, so I decided to write my own.\n\nWith my own cubs I did a whole lot of stuff that turned out to be unnecessarily complicated, so I figured as I was training [url=https://mega.nz/file/emJWjSgR#ETn38tPCBMmcJyo_WHhyvpic9bO7gQXelNH0u0lOgRc]Wendy's LoRA[/url] anyway I could type up a description of the streamlined process.\n\nThis guide assumes you’re already relatively familiar with AI generation, either with ComfyUI, Automatic1111, or Forge. You should also have basic MS paint skills.\n\nIt might be easiest to follow from the lora training guide.doc I've uploaded as the second-to-last file to this submission, as then the images follow the text.\n\n[t]Tools[/t]:\n- Tagui\n    https://github.com/jhc13/taggui\n- OneTrainer\n    https://github.com/Nerogar/OneTrainer\n- Background remover\n    https://github.com/danielgatis/rembg\n- Krita\n    https://krita.org/en/\n- NovaFurryXL\n   https://civitai.com/models/503815/nova-furry-xl\n\nMake sure you have all three tools properly installed. I won’t repeat their installation instructions you can find them on the github.\n\n[t]Preparing the data set[/t]\n\n[t]Background removal and inpainting[/t]\nFor the training we need different colored backgrounds, so every time you see the background switch color I removed the background with background remover, then added in different colored backgrounds. I then used inpainting with moderate noise (0.6) on the edges to make them blend into the background better (Inpainting tells Stable Diffusion that it’s only allowed to change the selected parts, it should leave the rest alone. For example in image 1 I’ve marked the edges as “changeable”. If you haven’t used it before, I would look up a tutorial on how to do it as it’ll be important for the rest of this tutorial)\n\n[t]Converting a single image into many[/t]\n\nFirst, start with a proper reference image. A full body shot, with a plain background. You can’t really train a LoRA well on a single image, so we’ll be preparing some images based on image 2.\n\nNext, upscale her head. Then use inpainting to change the expression. Make sure that any markings or other distinguishing features are left alone, to make sure they’re as alike as possible. That resulted in image 3-5.\n\nTo have at least one variation in posing, I’ve used her upscaled head and repositioned her limbs a bit (image 6), nothing a round of inpainting can’t fix (image 7).\n\nWe have three closeups, but we also want to give her some different outfits in case you ever want to change her outfit. Easily done by quick MS paint job and subsequent inpainting (image 8-11).\n\nThen the collection is finished!\n\n[t]Tagging the dataset[/t]\n\nCollect all images in one directory, without other images. We’re going to use taggui to create text files with the same name as the images, that will help the LoRA understand what exactly it should train.\n\nStart with an unique tag so the model doesn’t know it yet. I chose wendy_manicmoon_leprechaun as Wendy is co-owned by ManicMoon and Leprechaun.\n\nWith Taggui, you should basically tag anything you don’t want to train the model for, as extensive as possible. Any tag you add during training the model’ll think “oh, I know how to make a blue background, I don’t need training for that”. Take for example the bikini version: I don’t want to always add a bikini, so I tag it during training. I do always want to add a dog collar, so I don’t mention it during training. I want Wendy to have a variety of poses and expressions, so I tag those properly as well. I end up with the following tags:\n\nwendy_manicmoon_leprechaun, pink bikini, smiling, wings spread, blue background, full body reference, front view, waving, spread legs\n\nI wouldn’t use autotaggers, they’ll also try to add tags like “golden eyes” etc., which you don’t want to tag (because you want the LoRA to associate golden eyes with wendy_manicmoon_leprechaun). It’s only eight images anyway.\n\n[t]Training[/t]\n\nThen the training itself. You can start with wendy_config.config.txt. Add it to OneTrainer/training_presets so it shows up in the menu (and remove the .txt extension).\n\nYou need to add the pictures and tag files as a concept (image 12). Pick the correct path to the images, and make sure from text file per sample is turned on (image 14).\n\nYou want to point the base model to the last Novafurry model. Make sure in the top right SDXL and LoRA are selected (image 13).\n\nFinally put epochs to 2000 / number of images you have. I have 8, so number of epochs is 250. Click start training and wait. Done! (image 15)\n\n[t]Using the LoRA[/t]\n\nAwesome! You trained a LoRA. Now to use it. You still need to help Stable Diffusion by using all the same tags as before, but now the renders will look very alike at least.\n\nAs an example (image 16):\n\nanthro,female,cat,high quality,highest quality,masterpiece,beautiful fur, detailed fur,black fur,black skin,pink collar, black short hair,very small breasts,detailed hands,beautiful hands,plain gray background,full body shot, pink tail, bushy tail,lop eared,pink ear fur, detailed ears,detailed tail,bat wings,detailed wings, beautiful wings,fluffy_tail,thick_tail,broad_tail,huge_tail,dog tail,,solo,1girl,black pawpads,,nude,orgasm,masturbation,spread legs,sitting,wendy_manicmoon_leprechaun, <lora:wendy_IL_NovaFurry:1>,child, young,heart mark on tail, tail ends in black fur\n\nYou can now also reposition the character (for instance make a side view of her). Because the model is undertrained for side views (we didn’t include side views in our training data) the result may have a lot of mistakes (image 17). Fix those with inpainting (image 18)).\n\nAfterwards, you can use the pictures you generate with the LoRA as additional training data. I’ve heard that 10 full body shots in different poses, 10 partial body shots and 10 close ups with different expressions would be “best”, but really, quality is better than quantity."
}