All images models are prompted with 18 descriptions trained with 18 models Prompts

- a rare delight. Not so often do you see a girl with such a tucked in look. Super hot. (All images & models are prompted with 18+ descriptions & trained with 18+ models!) Contact me at aihotgirls@proton.me Version 2 Big improvements to overall look, consistency Big improvements for txt2img use Lowered issues with double butthole (still not perfect, but better) Renamed file from 'sd v s gp2 i' to 'GodPussy2 Innie' Used a mix of Photoshop and SD to improve training process Create a LoRA, generate images with LoRA, choose best images, Photoshop if needed, retrain new LoRA with those images, repeat Recommended Settings For txt2img: LoRA weight of 0.2-0.4 For pussy closeups, this can go all the way up to 0.9 or 1.0 For img2img: LoRA weight of 0.4-0.6, Denoising strength <=0.5 Inpainting: use large padding (varies per image size) Masked Content = Original, works better than Fill if base image has an ok vagina already there Best models (in order): LazyMix+, Liberty Main, LofiSasha LazyMix+ utilizes Subreddit v3, where you can add "A photo from the ____ subreddit, ____ quality" to the prompt (ex. pussy, GodPussy, or AsiansGoneWild) for more variation You can also use this LoRA in conjunction with https://civitai.com/models/10364/innies-better-vulva for some variation Background I'm a horny dude and I've seen a lot of pussies. I believe they're all unique, like a face. But different pussies also have very repeatable looks/themes. The plan is to create a set of LoRAs with categories of pussy types using images of the same model. Eventually it will be like a catalog to select which LoRA for the type of pussy you're looking for. Notes I am scrapping the naming conventions (ex. sd v s gp2 i). It's not very intuitive and shaved/unshaved can be accomplished through the prompt or other LoRAs (ex. That's My Bush). Setting an image preview for each LoRA in Additional Networks should be sufficient to know what model you are using I upscaled many of the training images using SD and also I used a trick to create multiple training images from the same original image This should result in very consistent, high quality images Don't forget to go outside and touch grass

- a rare delight. Not so often do you see a girl with such a tucked in look. Super hot. (All images & models are prompted with 18+ descriptions & trained with 18+ models!) Contact me at aihotgirls@proton.me Version 2 Big improvements to overall look, consistency Big improvements for txt2img use Lowered issues with double butthole (still not perfect, but better) Renamed file from 'sd v s gp2 i' to 'GodPussy2 Innie' Used a mix of Photoshop and SD to improve training process Create a LoRA, generate images with LoRA, choose best images, Photoshop if needed, retrain new LoRA with those images, repeat Recommended Settings For txt2img: LoRA weight of 0.2-0.4 For pussy closeups, this can go all the way up to 0.9 or 1.0 For img2img: LoRA weight of 0.4-0.6, Denoising strength <=0.5 Inpainting: use large padding (varies per image size) Masked Content = Original, works better than Fill if base image has an ok vagina already there Best models (in order): LazyMix+, Liberty Main, LofiSasha LazyMix+ utilizes Subreddit v3, where you can add "A photo from the ____ subreddit, ____ quality" to the prompt (ex. pussy, GodPussy, or AsiansGoneWild) for more variation You can also use this LoRA in conjunction with https://civitai.com/models/10364/innies-better-vulva for some variation Background I'm a horny dude and I've seen a lot of pussies. I believe they're all unique, like a face. But different pussies also have very repeatable looks/themes. The plan is to create a set of LoRAs with categories of pussy types using images of the same model. Eventually it will be like a catalog to select which LoRA for the type of pussy you're looking for. Notes I am scrapping the naming conventions (ex. sd v s gp2 i). It's not very intuitive and shaved/unshaved can be accomplished through the prompt or other LoRAs (ex. That's My Bush). Setting an image preview for each LoRA in Additional Networks should be sufficient to know what model you are using I upscaled many of the training images using SD and also I used a trick to create multiple training images from the same original image This should result in very consistent, high quality images Don't forget to go outside and touch

- a rare delight. Not so often do you see a girl with such a tucked in look. Super hot. (All images & models are prompted with 18+ descriptions & trained with 18+ models!) Contact me at aihotgirls@proton.me Version 2 Big improvements to overall look, consistency Big improvements for txt2img use Lowered issues with double butthole (still not perfect, but better) Renamed file from 'sd v s gp2 i' to 'GodPussy2 Innie' Used a mix of Photoshop and SD to improve training process Create a LoRA, generate images with LoRA, choose best images, Photoshop if needed, retrain new LoRA with those images, repeat Recommended Settings For txt2img: LoRA weight of 0.2-0.4 For pussy closeups, this can go all the way up to 0.9 or 1.0 For img2img: LoRA weight of 0.4-0.6, Denoising strength <=0.5 Inpainting: use large padding (varies per image size) Masked Content = Original, works better than Fill if base image has an ok vagina already there Best models (in order): LazyMix+, Liberty Main, LofiSasha LazyMix+ utilizes Subreddit v3, where you can add "A photo from the ____ subreddit, ____ quality" to the prompt (ex. pussy, GodPussy, or AsiansGoneWild) for more variation You can also use this LoRA in conjunction with https://civitai.com/models/10364/innies-better-vulva for some variation Background I'm a horny dude and I've seen a lot of pussies. I believe they're all unique, like a face. But different pussies also have very repeatable looks/themes. The plan is to create a set of LoRAs with categories of pussy types using images of the same model. Eventually it will be like a catalog to select which LoRA for the type of pussy you're looking for. Notes I am scrapping the naming conventions (ex. sd v s gp2 i). It's not very intuitive and shaved/unshaved can be accomplished through the prompt or other LoRAs (ex. That's My Bush). Setting an image preview for each LoRA in Additional Networks should be sufficient to know what model you are using I upscaled many of the training images using SD and also I used a trick to create multiple training images from the same original image This should result in very consistent, high quality images Don't forget to go outside and touch

a rare delight. Not so often do you see a girl with such a tucked in look. Super hot. (All images & models are prompted with 18+ descriptions & trained with 18+ models!) Contact me at aihotgirls@proton.me Version 2 Big improvements to overall look, consistency Big improvements for txt2img use Lowered issues with double butthole (still not perfect, but better) Renamed file from 'sd v s gp2 i' to 'GodPussy2 Innie' Used a mix of Photoshop and SD to improve training process Create a LoRA, generate images with LoRA, choose best images, Photoshop if needed, retrain new LoRA with those images, repeat Recommended Settings For txt2img: LoRA weight of 0.2-0.4 For pussy closeups, this can go all the way up to 0.9 or 1.0 For img2img: LoRA weight of 0.4-0.6, Denoising strength <=0.5 Inpainting: use large padding (varies per image size) Masked Content = Original, works better than Fill if base image has an ok vagina already there Best models (in order): LazyMix+, Liberty Main, LofiSasha LazyMix+ utilizes Subreddit v3, where you can add "A photo from the ____ subreddit, ____ quality" to the prompt (ex. pussy, GodPussy, or AsiansGoneWild) for more variation You can also use this LoRA in conjunction with https://civitai.com/models/10364/innies-better-vulva for some variation Background I'm a horny dude and I've seen a lot of pussies. I believe they're all unique, like a face. But different pussies also have very repeatable looks/themes. The plan is to create a set of LoRAs with categories of pussy types using images of the same model. Eventually it will be like a catalog to select which LoRA for the type of pussy you're looking for. Notes I am scrapping the naming conventions (ex. sd v s gp2 i). It's not very intuitive and shaved/unshaved can be accomplished through the prompt or other LoRAs (ex. That's My Bush). Setting an image preview for each LoRA in Additional Networks should be sufficient to know what model you are using I upscaled many of the training images using SD and also I used a trick to create multiple training images from the same original image This should result in very consistent, high quality images Don't forget to go outside and touch grass

Finally, an Asian pussy! Asian girls are very popular on here, and I wanted to make a LoRA for a consistently beautiful Asian pussy. Here it is, a LoRA of a beautiful shaved Asian pussy with small pussy lips. (All images & models are prompted with 18+ descriptions & trained with 18+ models!) Contact me at aihotgirls@proton.me Recommended Settings For txt2img: LoRA weight of 0.2-0.4 For pussy closeups, this can go all the way up to 0.9 or 1.0 For img2img: LoRA weight of 0.4-0.6, Denoising strength <=0.5 Inpainting: use large padding (varies per image size) Masked Content = Original, works better than Fill if base image has an ok vagina already there Best models (in order): LazyMix+, Liberty Main, LofiSasha LazyMix+ utilizes Subreddit v3, where you can add "A photo from the ____ subreddit, ____ quality" to the prompt (ex. pussy, GodPussy, or AsiansGoneWild) for more variation This LoRA could be applied to any ethnicity, doesn't have to be only Asian. The training images did not include any faces Background I'm a horny dude and I've seen a lot of pussies. I believe they're all unique, like a face. But different pussies also have very repeatable looks/themes. The plan is to create a set of LoRAs with categories of pussy types using images of the same model. Eventually it will be like a catalog to select which LoRA for the type of pussy you're looking for. Notes I am scrapping the naming conventions (ex. sd v s gp1 s). It's not very intuitive and there are other LoRAs for bush. Setting an image preview for each LoRA in Additional Networks should be sufficient to know what model you are using I upscaled many of my training images using SD and also I used a trick to create multiple training images from the same original image This should result in very consistent, high quality images Don't forget to go outside and touch grass

- a rare delight. Not so often do you see a girl with such a tucked in look. Super hot. (All images & models are prompted with 18+ descriptions & trained with 18+ models!) Contact me at aihotgirls@proton.me Version 2 Big improvements to overall look, consistency Big improvements for txt2img use Lowered issues with double butthole (still not perfect, but better) Renamed file from 'sd v s gp2 i' to 'GodPussy2 Innie' Used a mix of Photoshop and SD to improve training process Create a LoRA, generate images with LoRA, choose best images, Photoshop if needed, retrain new LoRA with those images, repeat Recommended Settings For txt2img: LoRA weight of 0.2-0.4 For pussy closeups, this can go all the way up to 0.9 or 1.0 For img2img: LoRA weight of 0.4-0.6, Denoising strength <=0.5 Inpainting: use large padding (varies per image size) Masked Content = Original, works better than Fill if base image has an ok vagina already there Best models (in order): LazyMix+, Liberty Main, LofiSasha LazyMix+ utilizes Subreddit v3, where you can add "A photo from the ____ subreddit, ____ quality" to the prompt (ex. pussy, GodPussy, or AsiansGoneWild) for more variation You can also use this LoRA in conjunction with https://civitai.com/models/10364/innies-better-vulva for some variation Background I'm a horny dude and I've seen a lot of pussies. I believe they're all unique, like a face. But different pussies also have very repeatable looks/themes. The plan is to create a set of LoRAs with categories of pussy types using images of the same model. Eventually it will be like a catalog to select which LoRA for the type of pussy you're looking for. Notes I am scrapping the naming conventions (ex. sd v s gp2 i). It's not very intuitive and shaved/unshaved can be accomplished through the prompt or other LoRAs (ex. That's My Bush). Setting an image preview for each LoRA in Additional Networks should be sufficient to know what model you are using I upscaled many of the training images using SD and also I used a trick to create multiple training images from the same original image This should result in very consistent, high quality images Don't forget to go outside and touch

PromptHero Open navigation menu Create 10 dmariyan6363 Model Information Realistic Vaginas - God Pussy 2 (Innie) Description God Pussy 2: Innie - a rare delight. Not so often do you see a girl with such a tucked in look. Super hot. (All images & models are prompted with 18+ descriptions & trained with 18+ models!) Contact me at aihotgirls@proton.me Version 2 Big improvements to overall look, consistency Big improvements for txt2img use Lowered issues with double butthole (still not perfect, but better) Renamed file from 'sd v s gp2 i' to 'GodPussy2 Innie' Used a mix of Photoshop and SD to improve training process Create a LoRA, generate images with LoRA, choose best images, Photoshop if needed, retrain new LoRA with those images, repeat Recommended Settings For txt2img: LoRA weight of 0.2-0.4 For pussy closeups, this can go all the way up to 0.9 or 1.0 For img2img: LoRA weight of 0.4-0.6, Denoising strength <=0.5 Inpainting: use large padding (varies per image size) Masked Content = Original, works better than Fill if base image has an ok vagina already there Best models (in order): LazyMix+, Liberty Main, LofiSasha LazyMix+ utilizes Subreddit v3, where you can add "A photo from the ____ subreddit, ____ quality" to the prompt (ex. pussy, GodPussy, or AsiansGoneWild) for more variation You can also use this LoRA in conjunction with https://civitai.com/models/10364/innies-better-vulva for some variation Background I'm a horny dude and I've seen a lot of pussies. I believe they're all unique, like a face. But different pussies also have very repeatable looks/themes. The plan is to create a set of LoRAs with categories of pussy types using images of the same model. Eventually it will be like a catalog to select which LoRA for the type of pussy you're looking for. Notes I am scrapping the naming conventions (ex. sd v s gp2 i). It's not very intuitive and shaved/unshaved can be accomplished through the prompt or other LoRAs (ex. That's My Bush). Setting an image preview for each LoRA in Additional Networks should be sufficient to know what model you are using I upscaled many of the training images using SD and also I used a trick to create multiple training images from the same original image This should result in very consistent, high quality images Don't forget to go outside and touch grass

A photorealistic billboard that mimics the Hollywood signboard with the text “PromptHero.”

A painting of young woman, street setting, minimum color selection, highly detailed, artist: {randomly selected. 12K

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"clip_vision_output": ["581", 0]}, "class_type": "StyleModelApply", "_meta": {"title": "Apply Style Model"}}, "193": {"inputs": {"noise_mask": false, "positive": ["192", 0], "negative": ["198", 0], "vae": ["32", 0], "pixels": ["199", 1], "mask": ["199", 2]}, "class_type": "InpaintModelConditioning", "_meta": {"title": "InpaintModelConditioning"}}, "194": {"inputs": {"unet_name": "flux1-fill-dev.safetensors", "weight_dtype": "fp8_e4m3fn"}, "class_type": "UNETLoader", "_meta": {"title": "Load Diffusion Model"}}, "195": {"inputs": {"guidance": 30, "conditioning": ["197", 0]}, "class_type": "FluxGuidance", "_meta": {"title": "FluxGuidance"}}, "196": {"inputs": {"strength": 1, "model": ["582", 0]}, "class_type": "DifferentialDiffusion", "_meta": {"title": "Differential Diffusion"}}, "197": {"inputs": {"text": "32K UHD, ultra-high resolution, extremely sharp, intricate details, masterpiece, realistic, Clothes wrinkle naturally", "clip": ["34", 0]}, "class_type": "CLIPTextEncode", "_meta": {"title": "N\u1ebfu \u1ea3nh ra kh\u00f4ng \u0111\u01b0\u1ee3c nh\u01b0 \u00fd => H\u00e3y m\u00f4 t\u1ea3 th\u00eam"}}, "198": {"inputs": {"text": "", "clip": ["34", 0]}, "class_type": "CLIPTextEncode", "_meta": {"title": "CLIP Text Encode (Prompt)"}}, "199": {"inputs": {"context_expand_pixels": 10, "context_expand_factor": 1, "fill_mask_holes": true, "blur_mask_pixels": 0, "invert_mask": false, "blend_pixels": 32, "rescale_algorithm": "bicubic", "mode": "ranged size", "force_width": 1024, "force_height": 1024, "rescale_factor": 1.2, "min_width": 512, "min_height": 512, "max_width": 1536, "max_height": 1536, "padding": 32, "image": ["187", 0], "mask": ["224", 0], "optional_context_mask": ["225", 0]}, "class_type": "InpaintCrop", "_meta": {"title": "(OLD \ud83d\udc80, use the new \u2702\ufe0f Inpaint Crop node)"}}, "203": {"inputs": {"samples": ["234", 0], "vae": ["32", 0]}, "class_type": "VAEDecode", "_meta": {"title": "VAE Decode"}}, "204": {"inputs": {"rescale_algorithm": "bislerp", "stitch": ["199", 0], "inpainted_image": ["203", 0]}, "class_type": "InpaintStitch", "_meta": {"title": "(OLD \ud83d\udc80, use the new \u2702\ufe0f Inpaint Stitch node)"}}, "206": {"inputs": {"expand": 10, "incremental_expandrate": 0, "tapered_corners": true, "flip_input": false, "blur_radius": 2, "lerp_alpha": 1, "decay_factor": 1, "fill_holes": false, "mask": ["518", 1]}, "class_type": "GrowMaskWithBlur", "_meta": {"title": "Grow Mask With Blur (\u0111i\u1ec1u ch\u1ec9nh m\u1eb7t n\u1ea1 trang ph\u1ee5c)"}}, "210": {"inputs": {"direction": "left", "match_image_size": true, "image1": ["219", 0], "image2": ["356", 0]}, "class_type": "ImageConcanate", "_meta": {"title": "Image Concatenate (gh\u00e9p t\u1ea1o m\u1eb7t n\u1ea1 trang ph\u1ee5c)"}}, "219": {"inputs": {"width": ["504", 1], "height": ["504", 2], "batch_size": 1, "color": 0}, "class_type": "EmptyImage", "_meta": {"title": "EmptyImage"}}, "220": {"inputs": {"width": ["569", 1], "height": ["569", 2], "batch_size": 1, "color": 0}, "class_type": "EmptyImage", "_meta": {"title": "EmptyImage"}}, "221": {"inputs": {"width": 0, "height": ["504", 2], "interpolation": "lanczos", "method": "keep proportion", "condition": "always", "multiple_of": 0, "image": ["222", 0]}, "class_type": "ImageResize+", "_meta": {"title": "\ud83d\udd27 Image Resize"}}, "222": {"inputs": {"mask": ["232", 0]}, "class_type": "MaskToImage", "_meta": {"title": "Convert Mask to Image"}}, "223": {"inputs": {"direction": "left", "match_image_size": true, "image1": ["221", 0], "image2": ["220", 0]}, "class_type": "ImageConcanate", "_meta": {"title": "Image Concatenate m\u1eb7t n\u1ea1 tr\u00ean ng\u01b0\u1eddi m\u1eabu"}}, "224": {"inputs": {"channel": "red", "image": ["223", 0]}, "class_type": "ImageToMask", "_meta": {"title": "Convert Image to Mask"}}, "225": {"inputs": {"channel": "red", "image": ["210", 0]}, "class_type": "ImageToMask", "_meta": {"title": "Convert Image to Mask"}}, "232": {"inputs": {"expand": 15, "incremental_expandrate": 0.0, "tapered_corners": false, "flip_input": false, "blur_radius": 4.0, "lerp_alpha": 1.0, "decay_factor": 1.0, "fill_holes": true, "mask": ["371", 0]}, "class_type": "GrowMaskWithBlur", "_meta": {"title": "Grow Mask With Blur"}}, "234": {"inputs": {"seed": 629966258210641, "steps": 20, "cfg": 1, "sampler_name": "euler", "scheduler": "simple", "denoise": 1, "model": ["196", 0], "positive": ["193", 0], "negative": ["193", 1], "latent_image": ["193", 2]}, "class_type": "KSampler", "_meta": {"title": "KSampler"}}, "279": {"inputs": {"prompt": ["578", 0], "threshold": 0.3, "sam_model": ["280", 0], "grounding_dino_model": ["281", 0], "image": ["405", 0]}, "class_type": "GroundingDinoSAMSegment (segment anything)", "_meta": {"title": "GroundingDinoSAMSegment (segment anything)"}}, "280": {"inputs": {"model_name": "sam_vit_h (2.56GB)"}, "class_type": "SAMModelLoader (segment anything)", "_meta": {"title": "SAMModelLoader (segment anything)"}}, "281": {"inputs": {"model_name": "GroundingDINO_SwinT_OGC (694MB)"}, "class_type": "GroundingDinoModelLoader (segment anything)", "_meta": {"title": "GroundingDinoModelLoader (segment anything)"}}, "293": {"inputs": {"value": 1536}, "class_type": "SimpleMathInt+", "_meta": {"title": "1536 Resolution"}}, "296": {"inputs": {"any_02": ["293", 0]}, "class_type": "Any Switch (rgthree)", "_meta": {"title": "Any Switch (rgthree)"}}, "356": {"inputs": {"mask": ["206", 0]}, "class_type": "MaskToImage", "_meta": {"title": "Convert Mask to Image"}}, "368": {"inputs": {"image": "https://s3.prod.nordy.ai/media/raw/021e43c9-0966-41ca-9c95-8f86a71b951e.webp", "choose file": "image", "File Direct Upload": "image"}, "class_type": "LoadImage", "_meta": {"title": "T\u1ea3i \u1ea3nh trang ph\u1ee5c"}, "is_changed": NaN}, "371": {"inputs": {"any_01": ["279", 1], "any_02": ["405", 1]}, "class_type": "Any Switch (rgthree)", "_meta": {"title": "Any Switch (rgthree)"}}, "404": {"inputs": {"images": ["487", 0]}, "class_type": "PreviewImage", "_meta": {"title": "Xem tr\u01b0\u1edbc m\u1eb7t n\u1ea1 t\u00e1ch \u0111\u1ed3 tr\u00ean ng\u01b0\u1eddi m\u1eabu"}}, "405": {"inputs": {"image": "https://s3.prod.nordy.ai/media/raw/622c097e-e328-4291-b194-111942a0b5b1.png", "choose file": "image", "File Direct Upload": "image"}, "class_type": "LoadImage", "_meta": {"title": "T\u1ea3i \u1ea3nh ng\u01b0\u1eddi m\u1eabu"}, "is_changed": NaN}, "487": {"inputs": {"direction": "left", "match_image_size": true, "image1": ["504", 0], "image2": ["221", 0]}, "class_type": "ImageConcanate", "_meta": {"title": "Image Concatenate"}}, "504": {"inputs": {"width": 0, "height": ["296", 0], "interpolation": "lanczos", "method": "keep proportion", "condition": "always", "multiple_of": 0, "image": ["405", 0]}, "class_type": "ImageResize+", "_meta": {"title": "\ud83d\udd27 Image Resize"}}, "518": {"inputs": {"torchscript_jit": "default", "image": ["570", 0]}, "class_type": "InspyrenetRembg", "_meta": {"title": "Inspyrenet Rembg"}}, "534": {"inputs": {"width": ["504", 1], "height": ["504", 2], "position": "top-right", "x_offset": 0, "y_offset": 0, "image": ["204", 0]}, "class_type": "ImageCrop+", "_meta": {"title": "\ud83d\udd27 Image Crop"}}, "539": {"inputs": {"any_01": ["534", 0], "any_02": ["534", 0]}, "class_type": "Any Switch (rgthree)", "_meta": {"title": "Any Switch (rgthree)"}}, "559": {"inputs": {"filename_prefix": "ComfyUI", "images": ["539", 0]}, "class_type": "SaveImage", "_meta": {"title": "Save Image"}}, "560": {"inputs": {"seed": 1083186878674920}, "class_type": "Seed Everywhere", "_meta": {"title": "Seed Everywhere"}}, "569": {"inputs": {"width": 0, "height": ["504", 2], "interpolation": "lanczos", "method": "keep proportion", "condition": "always", "multiple_of": 0, "image": ["368", 0]}, "class_type": "ImageResize+", "_meta": {"title": "\ud83d\udd27 Image Resize"}}, "570": {"inputs": {"width": 0, "height": ["296", 0], "interpolation": "lanczos", "method": "keep proportion", "condition": "always", "multiple_of": 0, "image": ["368", 0]}, "class_type": "ImageResize+", "_meta": {"title": "\ud83d\udd27 Image Resize"}}, "577": {"inputs": {"upscale_method": "lanczos", "width": 1216, "height": 0, "crop": "disabled", "image": ["368", 0]}, "class_type": "ImageScale", "_meta": {"title": "Upscale Image"}}, "578": {"inputs": {"text": "Bikini"}, "class_type": "ttN text", "_meta": {"title": "text"}}, "580": {"inputs": {"lora_name": "Migration_Lora_cloth.safetensors", "strength_model": 0, "model": ["194", 0]}, "class_type": "LoraLoaderModelOnly", "_meta": {"title": "LoraLoaderModelOnly"}}, "581": {"inputs": {"crop": "center", "clip_vision": ["189", 0], "image": ["577", 0]}, "class_type": "CLIPVisionEncode", "_meta": {"title": "CLIP Vision Encode"}}, "582": {"inputs": {"lora_name": "comfyui_subject_lora16.safetensors", "strength_model": 1, "model": ["580", 0]}, "class_type": "LoraLoaderModelOnly", "_meta": {"title": "LoraLoaderModelOnly"}}}

A painting of young woman, street setting, minimum color selection, highly detailed, artist: {randomly selected. 12K

generiert, um das Potenzial der minimalen Eingaben aufzuzeigen. Was ist das Besondere? Das Model weiß genau, was ein Foto ausmacht. Wenn du also Anweisungen gibst, kannst du auf Fotos verzichten. Falls die Anweisungen eher fantasievoll sind, wird sich das Model vom Foto abwenden, und du musst durch gezielte Fragen und/oder Negativbeispiele nachhelfen. Das Modell kann verschiedene Ethnien gut darstellen

<lora:xl_more_art-full_v1:1>,<lora:DreamARTSDXL:1>,random 18 year old woman,random hair color,random places around the house

Input image(s) for image-to-image generation. List of 1-14 images for single or multi-reference generation.

Input images to transform or use as reference (supports up to 14 images)

MAE WITH PORTRAIT PROMPT PRO V2

Create 10 images like this

sam bennion using prompt hero, 8k, super realistic, masters, nannies

512x768 872085635 12.5 20 d8722b4a4d dpm++_sde_karras 0.75 4

n image of a beautiful woman face that is being overlaid by a close-up of a three-dimensional, organic lattice structure like honeycomb

Stable Diffusion prompt: score_9, score_8_up, score_7_up, score_6_up, score...

Stable Diffusion prompt: score_9, score_8_up, score_7_up, score_6_up, score...

Best Midjourney Prompts Best DALL-E Prompts Best Stable Diffusion Prompts Best Openjourney Prompts Best ChatGPT Prompts Best Claude Prompts Best Gemini Prompts Best Flux Prompts Best Leonardo Al Prompts Best Sora Prompts Best Veo Prompts Best Kling Prompts Best Runway Prompts Best Luma Prompts

A painting of a beautiful young woman. Highly details, professional, dynamic angle, 12K, Artist: {randomly chosen}