Adonis is an \"upscale model\" LoKr trained using a high-resolution \"target\" dataset of men, paired with synthetic low-resolution edited copies as the \"control.\" It refines skin, hair, and anatomy details that base model often gets wrong.
Edit-Only: Improves only what is already visible in the input image. Suitable for any image involving people.
Two-Model Generation: The model splits into two models (adonis_base and adonis_refine) that work best together:
Adonis Base: Sets the image structure and color first. (first 4-6 steps)
Adonis Refine: Brings out details and corrects issues from the initial steps. (final steps, 9 steps total)
This prompt enhances most images effectively:
uhdmanscale, fully reconstruct this entire image from cellphone quality to professional high resolution color raw quality. Remove halftone dot pattern. Apply descreen filter. Eliminate periodic grid noise. Eliminate repeating noise patterns and artifacts, remove uniform diagonal line texture patterns. Reconstruct low resolution high ISO noise areas with high resolution low ISO noise textures.
Apply full detail reconstruction to all areas: background, environment, surfaces, objects, clothing, and foreground elements โ render everything sharp, textured, and high fidelity.
Subject identity is locked: preserve exact facial geometry and body geometry, eye shape and color, nose and mouth shape, and expression. On skin areas, remove color blotch artifacts, normalize tone uniformity, preserve natural pore and texture detail. On hair and body hair areas, separate smeared color artifacts, restore strand separation and texture. Outside the subject's face, freely reconstruct all texture and sharpness with no restrictions.
Deblur and focus correction pass. Infer and reconstruct underlying detail from soft source: sharpen edge definition, recover eye detail, lip definition, and skin texture from motion blur. Output as professional high resolution color camera RAW image.
Note: For non-color inputs, specify object colors in the background. Replace \"color\" with \"black and white\" if you do not want to colorize the image.
Install these custom nodes:
Base Models:
FLUX.2-klein-9B.safetensors (HuggingFace: black-forest-labs/FLUX.2-klein-9B)
Flux 2 VAE (HuggingFace: Comfy-Org/flux2-dev)
Clip:
Use a higher quantization GGUF if VRAM is limited. FP8 tends to degrade details in eyes and fingers based on testing.
Main and Alt is now Base & Refine
Base and Refine models are now used together, with Base setting the image and Refine finishing the details. There should be very little shifting when using the models in this way. The models have been block edited to have slightly less effect on color/saturation, as the Main and Alt version tended to undersaturate the outputs to an extreme degree. The new workflow will be posted with the changes in place.
Main and Alt is now Base & Refine
Base and Refine models are now used together, with Base setting the image and Refine finishing the details. There should be very little shifting when using the models in this way. The models have been block edited to have slightly less effect on color/saturation, as the Main and Alt version tended to undersaturate the outputs to an extreme degree. The new workflow will be posted with the changes in place.
v2 of Adonis is a LoKr model instead of a LoRA model.
Using a LoKr with a low scale of 4, and training images at 1024, 1280 and 1536 resolution, the model was able to learn micro skin detail and become more generalized with minimal \"grid\" artifacting like in v1.
For extremely low resolution images with prominent checkerboard artifacts, you may need to add a Gaussian blur or try a 1xDeJPG model to remove as much of that pattern as possible to get a better result.
While trained on men, both v2 models should be capable of enhancing women as well (*you may need to use an additional model for female anatomy since that is not in the current dataset)
adonis_f2k_v2_main:
* Great quality, somewhat saturated.
* Used for most images, is from a lower training step that causes little if any morphing/shifting
(precise but not always accurate with all colors/textures)
adonis_f2k_v2_alt:
* Great quality, less saturated and better texture.
* Used when the texture/detail quality is more important than shifting
(more accurate with color and texture, will shift image slightly but identity stays intact)
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This model is edit only, training captions were simple - (ex. uhdmanscale, upscale and refine the image of the nude man with his erect penis exposed) - due to the control/target image setup and is (usually) not able to produce anything that is not already in the image.
The best prompt for this model is below:
uhdmanscale, change the cellphone quality image into a professional high resolution color camera raw image.
Solo and two person anal fingering.
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"name": "v1.5 experimental", + "baseModel": "Flux.2 Klein 9B-base", + "baseModelType": "Standard", + "createdAt": "2026-04-25T02:19:01.957Z", + "publishedAt": "2026-04-25T03:49:23.942Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 60, + "description": "This is not v2.0 yet because DP is only semi functional. Sometimes it works after a few tries, sometimes not at all. In this version you can specify what you are trying to create by adding either Double Penetration or Anal Fingering to the prompt. Still publishing this version because the training was able to add some different solo positions, specifically laying on her side. For some reason doggystyle DP makes the man's penis comically long. If you want to try DP prompts see the examples posted for the prompting. I tried to add threesomes, but the training did not take, will try to add this to v2.0.
Recommended Settings:
Steps 40+
CFG 5-7
Euler Simple
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I attempted to train a woman fingering a man, but that does not work well yet. Man fingering woman, woman fingering woman, and woman fingering herself seem to work correctly a great majority of the time. Male genitalia does not show up correctly at the moment, it instead gives them female genitalia, avoid that in your prompts. In order for the Lora to work properly, must use the phrase \"penetrating her anus with (his/her finger)\". While not necessary, SNOFS helps add the little details to these images. See prompts in image posts for general language to use.
To do for V2.0:
Fix male genitalia
Increase the number of positions
Allow oral sex with anal fingering
Possible:
Male subject being fingered
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Pussy Adjuster [K9B ZImage SDXL Qwen Chroma SD1]/extra_data-vid_2911011/model_dict-mid_112299-vid_2911011.json b/klein-9b/lora/Labiaplasty Innie Pussy Adjuster [K9B ZImage SDXL Qwen Chroma SD1]/extra_data-vid_2911011/model_dict-mid_112299-vid_2911011.json new file mode 100644 index 0000000000000000000000000000000000000000..1d7e22cdb6f37bac2139810809e288995755f1ce --- /dev/null +++ b/klein-9b/lora/Labiaplasty Innie Pussy Adjuster [K9B ZImage SDXL Qwen Chroma SD1]/extra_data-vid_2911011/model_dict-mid_112299-vid_2911011.json @@ -0,0 +1,957 @@ +{ + "id": 112299, + "name": "Labiaplasty Innie Pussy Adjuster [K9B ZImage SDXL Qwen Chroma SD1]", + "description": "v1 is an SD 1.5 adjuster/slider model. It's trained only on low angle images from the front.
v2 is an adjuster/slider model that comes in a SDXL and SD 1.5 model variant. It's trained on front, below and from behind images. It was trained before pony and illustrious models existed but seems to work on many mixes if the weight is set high enough (more than 2 on some models)
v3 is trained for z-image turbo. It's an adjuster/slider model with no keyword needed.
v4 is trained for qwen-image-edit-2511. It should handle input images in most styles including anime or furry content. it should also do a better job of drawing buttholes than previous models and also supports images with anal penetration (vaginal penetration not trained). The main activation keywords to use are either \"adjust her pussy\", \"adjust her pussy and anus\", or \"adjust her pussy, anal\"
v5 is trained for Chroma. It works best when the keyword \"cleft of venus\" is used.
v6 is trained on zimage. It's a multi-concept lora. Using \"pussy slit\" or \"slit\" will create an innie. Other concepts that seem to work at least some of the time in testing include \"clitoral hood\", \"spreading own vagina with fingers, one hand\", \"spreading own pussy with both hands\", \"penis\", and \"vaginal sex\"
v7a is trained on Flux2-Klein-9B. It was trained as an image-to-image model but also seems to work for text-to-image. The main keyword used for training is \"fix her crotch\" but it is not required for it to work. To simplify training, unlike v6, this model was just trained with the slit pussy type. I may release other variants in the future.
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Works really well on Flux2-base-9b at strength 1.0 but for distilled versions of the model you may need to push the strength up to 1.5 or 1.6.
it was trained without a trigger word but captioned with \"petite breasts\" so that works well. e.g. \"woman with petite breasts...\" or for edit \"make her have petite breasts\"
Feedback appreciated and have fun with it.
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The air is still, almost heavy, as if the entire space exists outside of time. Reflections ripple faintly across the glossy floor, mirroring the architecture and light in perfect symmetry.\nAt the center of the hall stands a woman, poised and composed, her presence commanding without effort. Her posture is upright but relaxed, one leg slightly forward, shoulders subtly angled, creating a natural asymmetry that feels elegant rather than posed. Her head is slightly tilted downward while her eyes look forward, meeting the viewer with a calm, controlled intensity รขยย not aggressive, but unshakably confident.\nHer porcelain white skin appears almost luminous against the dark environment, softly catching the vertical light sources. Her eyes are highly detailed and reflective, holding a quiet depth, with subtle highlights that give them life without exaggeration. Her lips are neutral and relaxed, with just enough variation to avoid stiffness.\nHer long white hair flows naturally over her shoulders and down her back, with individual strands softly separating, catching both light and shadow. A faint rim light traces along the edges of her hair, creating clean separation from the dark background while preserving softness.\nShe wears an intricate, high-fashion outfit composed of layered materials รขยย a structured, form-fitting base with precise seams and paneling, overlaid with semi-gloss and matte elements that interact differently with the lighting. Sections of the garment reflect the vertical light panels sharply, while others absorb light, creating depth and contrast. 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The sky is filled with warm golden light breaking through thin clouds, casting long directional beams that cut across the scene. The air feels crisp and elevated, with a faint sense of wind moving gently through the environment.\nA woman stands near the edge of the rooftop, captured mid-movement as she turns slightly toward the viewer. Her body is angled dynamically, one leg forward and her weight shifted naturally, creating a strong, fashion-oriented silhouette. One hand rests lightly at her side while the other lifts slightly, as if caught in motion. Her posture is confident and fluid, not rigid, with a subtle asymmetry that adds energy.\nHer porcelain white skin glows softly under the warm sunrise light, with gentle highlights across her cheekbones and nose, while soft shadows define the structure of her face. Her expression is calm but assured, her eyes focused forward with quiet intensity, holding clarity and detail even under the bright lighting. 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She has smooth porcelain skin #F1F1F1, long straight black hair flowing naturally over her shoulders with fine strand detail, and sharply defined eyes with visible iris texture, crisp limbal rings, and layered lashes that feel dense and dimensional. Her lips are a deep muted crimson #6A0F1C with a soft satin finish. She wears a structured gothic dress in matte black #0B0B0B with a fitted bodice, delicate lace sleeves, and subtle embroidery, with no headpiece or adornment in her hair, leaving a clean, uninterrupted silhouette.\n\nThe background is a flat, seamless studio backdrop in dark neutral grey #2E3136 with a very subtle vertical gradient that becomes marginally lighter toward the centre, providing separation without introducing environmental detail. 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A very gentle rim light from behind in cool grey #D0D6DC separates the hair from the background without overpowering the scene. Lighting is balanced to avoid overly soft diffusion, preserving contrast and fine detail in the eyes.\n\nThe atmosphere is minimal, controlled, and intimate, focusing entirely on expression and presence without distraction.\n\nStyle: refined gothic fashion portrait with hyper-realistic facial detail \nMood: confident, composed, subtly mocking", + "sampler": "Euler", + "cfgScale": 1 + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Porcelain Gothic Skin/extra_data-vid_2873096/model_dict-mid_2551056-vid_2873096.json b/klein-9b/lora/Porcelain Gothic Skin/extra_data-vid_2873096/model_dict-mid_2551056-vid_2873096.json new file mode 100644 index 0000000000000000000000000000000000000000..d4a996cc3a39ce486903ac546c30330f4ce3fb8a --- /dev/null +++ b/klein-9b/lora/Porcelain Gothic Skin/extra_data-vid_2873096/model_dict-mid_2551056-vid_2873096.json @@ -0,0 +1,496 @@ +{ + "id": 2551056, + "name": "Porcelain Gothic Skin", + "description": "Trigger Words: DRKM4GE, DRKM4GE style, porcelain white skin
Porcelain Gothic Skin is a portrait-focused LoRA designed to produce ultra-smooth, porcelain-style skin with soft cinematic lighting and high facial clarity.
This model specializes in:
Clean, luminous skin with subtle blush tones
Soft, melancholic expressions with natural asymmetry
High-detail eyes with sharp irises and gentle reflections
Smooth lighting transitions and refined highlight rolloff
Gothic / dark fantasy aesthetic with elegant composition
It is ideal for close-up portraits and head-and-shoulders compositions where facial quality and lighting are the priority.
v4.0 โ Z-Image Turbo (Latest) Brings Porcelain Gothic Skin to Z-Image Turbo. Adds dark fantasy style transfer and sharper overall detail on top of the skin quality. Locks a slim petite character build consistently. Stack with Midjourney_Luneva_Cinematic_v1 and DnDDarkestFantasyZ.
Start with: <lora:DRKM4GE_v4:0.5>, DRKM4GE, porcelain white skin
Recommended range: 0.5โ0.75. Use prose paragraph prompts โ tag soup underperforms on Z-Image Turbo.
", + "allowNoCredit": false, + "allowCommercialUse": "{RentCivit}", + "allowDerivatives": false, + "allowDifferentLicense": false, + "type": "LORA", + "minor": false, + "sfwOnly": false, + "poi": false, + "nsfw": false, + "nsfwLevel": 3, + "availability": "Public", + "userId": 11107642, + "cosmetic": null, + "supportsGeneration": true, + "stats": { + "downloadCount": 379, + "thumbsUpCount": 21, + "thumbsDownCount": 0, + "commentCount": 0, + "tippedAmountCount": 0 + }, + "creator": { + "username": "theevildarkmage126", + "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f2f1361f-68ed-4340-b263-4ddfeb0bdd67/width=96/theevildarkmage126.jpeg" + }, + "tags": [ + "portrait", + "gothic", + "style", + "woman", + "cinematic", + "realistic", + "soft lighting", + "porcelain skin", + "anime-inspired" + ], + "modelVersions": [ + { + "id": 2912323, + "index": 0, + "name": "v4.0", + "baseModel": "ZImageTurbo", + "baseModelType": "Standard", + "createdAt": "2026-05-02T13:28:50.282Z", + "publishedAt": "2026-05-02T13:52:12.397Z", + "status": "Published", + "availability": "Public", + "nsfwLevel": 3, + "description": "Porcelain Gothic Skin is a style and character LoRA for Z-Image Turbo that transfers a polished 2.5D dark fantasy illustration aesthetic โ porcelain skin, sharp detail enhancement, and a consistent slim petite character build โ from a single trigger word.
What it does:
Porcelain pale skin with soft luminous quality
Sharpens overall image detail โ hair strands, fabric texture, eye clarity
Locks a slim, petite body type
Transfers a dark gothic illustrated rendering style
Usage: Start with <lora:DRKM4GE_v4:0.5>, DRKM4GE, porcelain white skin and stack with a detail LoRA and a style LoRA for best results. Works well at 0.5โ0.75. Above 0.75 a paint layer effect appears.
Tips:
Works best with projectAnime_v10FP16 but is compatible with the base ZIT checkpoint
Stack with MS_Fantasy_Style_ZIT_V6 for face and eye quality
Stack with DnDDarkestFantasyZ for dark fantasy environments
Always use prose paragraph prompts โ tag soup underperforms on Z-Image Turbo
Include adult face anchors for best results: mature face, high cheekbones, sharp jaw
Base Model: Z-Image Turbo Trigger: DRKM4GE Recommended strength: 0.5
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This version significantly improves facial realism, expression, and lighting response.
The model now produces more lifelike eyes, better skin tone variation, and stronger emotional presence compared to previous versions.
Key improvements:
Improved facial structure and consistency
Enhanced eye detail and gaze realism
More expressive, intentional expressions (less โneutralโ outputs)
Better lighting response and contrast handling
Cleaner anatomy and material rendering
This version performs best with waist-up portraits and close framing, where facial detail and expression are emphasized.
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A high-quality SDXL LoRA designed to produce pale, porcelain-style skin with soft natural texture, strong facial consistency, and expressive detail.
This model was trained on a carefully curated dataset to maintain clean anatomy, stable identity, and reliable results across a wide range of lighting conditions โ from soft natural daylight to high-contrast cinematic scenes.
Key Features
Smooth, porcelain skin without waxy or plastic artifacts
Strong eye detail with consistent alignment and expression
Stable facial structure across prompts and lighting conditions
Works in both soft realism and stylized cinematic compositions
Clean separation of subject and background with good depth
No Trigger Word Required
This LoRA activates naturally in most portrait prompts.
You can optionally include:
\"drkm4ge style\"
for slightly stronger stylization, but it is not required.
Recommended Settings
Weight: 0.6 โ 0.75
Sampler: DPM++ 2M Karras
Steps: 30โ40
CFG: 5.5 โ 6.5
Best Use Cases
Portraits and close-up character work
Pale / porcelain skin rendering
Stylized realism
Dark, gothic, or cinematic aesthetics
Notes
Higher weights (>0.8) may introduce slight over-sharpening
Best results come from well-defined lighting in your prompt
Maintains performance across both minimal and complex prompts
Example Prompt
portrait of a pale-skinned woman, porcelain skin, soft natural lighting, detailed eyes, subtle expression, shallow depth of field
lora:drkm4ge_style_v4:0.7
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Changes in this version:
- improved expression range
- better styling flexibility across hair, clothing, and mood
- cleaner overall polish and more consistent skin rendering
- stronger results in portrait and upper-body compositions
This version still centers on pale porcelain skin, gothic fashion, soft luminous highlights, and dark romantic atmosphere.
Recommended use:
- works best around 0.8 strength
- good range is 0.7 to 0.9
- trigger with: drkm4ge
- designed for Flux / Flux-style prompting
Thank you for the support, reactions, and downloads. This model is free, and the feedback really helps motivate future updates.
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This version is trained for high-fidelity portrait rendering with a focus on:
- Ultra-smooth porcelain skin
- Soft cinematic lighting and highlight rolloff
- High-detail eyes with natural expression
- Clean, refined facial structure
Best suited for close-up and head-and-shoulders compositions.
Sweet spot strength: ~0.85
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S&R\": \"CLIPLoader\"}, \"widgets_values\": [\"qwen_3_8b_layerwise.safetensors\", \"flux2\", \"default\"]}, {\"id\": 48, \"type\": \"PrimitiveNode\", \"pos\": [-30.60162353515625, 525.5447387695312], \"size\": [414.2373352050781, 222.83628845214844], \"flags\": {}, \"order\": 2, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"STRING\", \"type\": \"STRING\", \"widget\": {\"name\": \"text\"}, \"links\": [118]}], \"properties\": {\"Run widget replace on values\": false}, \"widgets_values\": [\"\"]}, {\"id\": 42, \"type\": \"SaveImage\", \"pos\": [1594.6265869140625, 184.86485290527344], \"size\": [315, 270], \"flags\": {}, \"order\": 12, \"mode\": 0, \"inputs\": [{\"name\": \"images\", \"type\": \"IMAGE\", \"link\": 231}], \"outputs\": [], \"properties\": {}, \"widgets_values\": [\"ComfyUI\", \"\"]}, {\"id\": 12, \"type\": \"VAELoader\", \"pos\": [1212.295166015625, 278.6322326660156], \"size\": [219.82144165039062, 76.50692749023438], \"flags\": {}, \"order\": 3, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"VAE\", \"type\": \"VAE\", \"links\": [13]}], \"properties\": {\"Node name for S&R\": \"VAELoader\"}, \"widgets_values\": [\"flux2-vae.safetensors\"]}, {\"id\": 5, \"type\": \"EmptyLatentImage\", \"pos\": [519.2672729492188, 503.2460021972656], \"size\": [315, 106], \"flags\": {}, \"order\": 4, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"LATENT\", \"type\": \"LATENT\", \"slot_index\": 0, \"links\": [213]}], \"properties\": {\"Node name for S&R\": \"EmptyLatentImage\"}, \"widgets_values\": [960, 1728, 1]}, {\"id\": 10, \"type\": \"UNETLoader\", \"pos\": [-44.19428634643555, -116.62297058105469], \"size\": [315, 82], \"flags\": {}, \"order\": 5, \"mode\": 0, \"inputs\": [], \"outputs\": [{\"name\": \"MODEL\", \"type\": \"MODEL\", \"links\": [233]}], \"properties\": {\"Node name for S&R\": \"UNETLoader\"}, \"widgets_values\": [\"flux-2-klein-9b-fp8.safetensors\", \"default\"]}, {\"id\": 8, \"type\": \"VAEDecode\", \"pos\": [1209, 188], 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[42, 23, 0, 6, 1, \"STRING\"], [67, 26, 0, 6, 0, \"CLIP\"], [116, 47, 0, 3, 2, \"CONDITIONING\"], [117, 26, 0, 47, 0, \"CLIP\"], [118, 48, 0, 47, 1, \"STRING\"], [213, 5, 0, 3, 3, \"LATENT\"], [219, 86, 0, 3, 0, \"MODEL\"], [231, 8, 0, 42, 0, \"IMAGE\"], [233, 10, 0, 86, 0, \"MODEL\"]], \"groups\": [], \"config\": {}, \"extra\": {\"ds\": {\"scale\": 0.6303940863128681, \"offset\": [102.98849988367003, 222.28792821911836]}}, \"version\": 0.4}}", + "steps": 4, + "width": 960, + "height": 1728, + "models": [ + "flux-2-klein-9b-fp8.safetensors" + ], + "prompt": "photo of a kitten close up", + "denoise": 1, + "sampler": "Euler", + "cfgScale": 1, + "scheduler": "normal", + "additionalResources": [ + { + "name": "klein-9b\\REAL_HDR.safetensors", + "type": "lora", + "strength": -0.3 + } + ] + }, + "availability": "Public", + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null +} \ No newline at end of file diff --git a/klein-9b/lora/Real HDR (Level of Color Detail Slider)/extra_data-vid_2900355/model_dict-mid_2581643-vid_2900355.json b/klein-9b/lora/Real HDR (Level of Color Detail Slider)/extra_data-vid_2900355/model_dict-mid_2581643-vid_2900355.json index dcdbfffea46a8bb5bac43300661ec2b62045e97c..f4b126d8ace2a03e617f0add0b1ee4e7af245359 100644 --- a/klein-9b/lora/Real HDR (Level of Color Detail Slider)/extra_data-vid_2900355/model_dict-mid_2581643-vid_2900355.json +++ b/klein-9b/lora/Real HDR (Level of Color Detail Slider)/extra_data-vid_2900355/model_dict-mid_2581643-vid_2900355.json @@ -17,10 +17,10 @@ "cosmetic": null, "supportsGeneration": true, "stats": { - "downloadCount": 0, - "thumbsUpCount": 0, + "downloadCount": 377, + "thumbsUpCount": 42, "thumbsDownCount": 0, - "commentCount": 0, + "commentCount": 6, "tippedAmountCount": 0 }, "creator": { @@ -48,12 +48,12 @@ "availability": "Public", "nsfwLevel": 1, "trainedWords": [ - "Negitive Lora Value will increase sharpness and color - Postive Lora Value Decreases color and softness" + "Negative Lora will increase total number of unique colors and increase sharpness - Postive Lora will decrease unique colors and add softness" ], "covered": true, "stats": { - "downloadCount": 0, - "thumbsUpCount": 0, + "downloadCount": 377, + "thumbsUpCount": 42, "thumbsDownCount": 0 }, "files": [ @@ -98,6 +98,20 @@ "onSite": false, "remixOfId": null }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cb21ae0c-1d4c-4c97-81eb-e49f9f064a8c/original=true/128937890.jpeg", + "nsfwLevel": 1, + "width": 2927, + "height": 1874, + "hash": "UDJkGy?GIU-;IVIVWBRj%#NGofWB_NbHf7j[", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null + }, { "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/19102c19-568f-4392-8b3a-3ea5944aa0f7/original=true/128895852.jpeg", "nsfwLevel": 1, @@ -125,6 +139,20 @@ "hasPositivePrompt": true, "onSite": false, "remixOfId": null + }, + { + "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/aa8ac456-bb22-419b-8b29-d135e268b15c/original=true/128936890.jpeg", + "nsfwLevel": 1, + "width": 2923, + "height": 1757, + "hash": "U4H-0:0~00Mx02wb-US#00-UxtxG_Kxut7M{", + "type": "image", + "minor": false, + "poi": false, + "hasMeta": true, + "hasPositivePrompt": true, + "onSite": false, + "remixOfId": null } ], "downloadUrl": "https://civitai.com/api/download/models/2900355" diff --git a/klein-9b/lora/Retro animation style (The King and the Mockingbird)/King_and_Mockingbird_style_klein9b-mid_935190-vid_2900911.csv b/klein-9b/lora/Retro animation style (The King and the Mockingbird)/King_and_Mockingbird_style_klein9b-mid_935190-vid_2900911.csv new file mode 100644 index 0000000000000000000000000000000000000000..de80af2ea707b18342f31e69b86924b8a75e6d11 --- /dev/null +++ b/klein-9b/lora/Retro animation style (The King and the Mockingbird)/King_and_Mockingbird_style_klein9b-mid_935190-vid_2900911.csv @@ -0,0 +1,7 @@ +hash_name, hash_id 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Showcase images :
Distilled model
768x1152
Euler / normal / 4 steps / CFG 1
Lora strength of 1 - 1.5
When upscaled : x1.5 - Hi-res 4 steps - 0.35
It was trained on 2512, but I prefer to use the original Qwen-Image model for inference.
Showcase images :
Original Qwen-Image (BF16)
Lightning lora
5 steps / 1 CFG
DDIM & Beta
Lora strength 0.8-1
a little side project
The LoRA did NOT learn any faces or any NSFW stuff
Only intention was to create SFWish big booty/hourglass body shots
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