physical violence

revealing clothes

weapon violence

pg-13

corpses

wide hips

convenient censoring

oral invitation

thick thighs

huge breasts

downblouse

suggestive

sexy

pg13

sexual situations

disturbing

male nudity

female swimwear or underwear

male swimwear or underwear

partial nudity

graphic violence or gore

emaciated bodies

exposed female nipple

female nudity

undressed

male underwear

female swimwear

female underwear

breasts out

strapless leotard

breast out

one breast out

gigantic breasts

huge butt

covered nipples

hair over breasts

no panties

sitting on face

nude

lingerie

nsfw

adult toys

nudity

graphic male nudity

illustrated explicit nudity

graphic female nudity

sexual intent

genitals

porn

futanari

hentai

peeing

blowjob

sexual activity

vore

anal

dildo riding

oral

incest

hanging

hate symbols

nazi party

white supremacy

self injury

extremist

hate speech

diapers

urine

scat

child on child

bukkake

fellatio

bikini

cumshot

implied fellatio

eat_cum

cumdrip

cum in pussy

cum on face

after fellatio

cum on hair

cum on body

cum on tongue

cum on hands

cum in mouth

<h3 id="recommended-settings-(v1-z-image-turbo):">Recommended Settings (v1 - Z-Image Turbo):</h3><ul><li>WORKFLOW IS IN THE SHOWCASE IMAGES. You have to use the workflow. If you use the LoRA with a simple workflow you:<ul><li>Either get shitty overtrained plastic images</li><li>Or you barely change the style of turbo model and they might still look shitty</li></ul></li></ul>If you use it with my workflow, the seed variety is phenomenal. There is a very very less chance that you get the same-ish composition and lighting twice Prompt adherence took a little hit (maybe its the workflow to blame). It is okay for me because it still generates the images I want. I loose a bit of adherence to get variety. If you dont like it then you can try other workflow's or reduce the weight of the LoRA or use another LoRA Some prompts change the image way too much when you compare with Turbo but some prompts not so much. You can start with weight 0.7-0.9 for "Model with LoRA High Weight" node and 0.4-0.5 for "Model with LoRA Low Weight" node. The last stage (stage 3), disable the LoRA so you can bring back the skin texture - the image barely changes here because we use a low denoise. You can use the upscaler that I am using but keep in mind that its slow compared to others If you want to use a character LoRA along with this LoRA, you have to enable the character LoRA at stages 2 and 3. In stage 2, you can unbypass the character lora loader node. In stage 3, you can use "Model with Character LoRA Only" node <h3 id="recommended-settings-(v1-qwen-image):">Recommended Settings (v1 - Qwen Image):</h3><ul><li>Workflow is in the showcase images</li><li>My recommendation is to use the "EasyCache" node and let it skip 2 steps. It good with very little quality loss</li><li>I never tested it without lightning lora so I don't know how many steps to use or the CFG. You have to experiment yourself</li><li>880x1184 or 1328x1776 works best</li></ul><h3 id="recommended-settings-(v6-flux-dev):">Recommended Settings (v6 - Flux Dev):</h3><ul><li>Distilled CFG Scale: 3.5</li><li>Sampling method and Schedule type: DEIS with DDIM</li><li>Steps: 20</li><li>Resolution: 896x1152<ul><li>Hires fix model: 4x_NMKD-Superscale-SP_178000_G</li><li>Steps: 10</li><li>Denoise: 0.3</li><li>Upscale by: 1.5</li></ul></li><li>Lora Weight: 0.8. You have to experiment based on your prompts</li></ul>

Z-Image v1.0

Qwen v1.0

GPT4O Prompt - <a target="_blank" rel="ugc" href="https://pastebin.com/89SnakX7">https://pastebin.com/89SnakX7</a>

v5-final

v5-beta

(Read the model description) - I don't know if its good so I marked it as "testing". You can try if you want or you can stick to v3 or v2. If you want to use it, I STRONGLY recommend generating at 1344x1728 (gives the best results) or 1728x1344. If its slow for you, generate at 896x1152 (gives the best results) or 1152x896 and use hires fix

v4-soap-testing

GPT4o Prompt:<pre><code>I am training a LoRA for the Flux 1D text-to-image model that utilizes the T5XXL transformer in its architecture. To enhance this process, I require your assistance in generating detailed, natural language prompts based on uploaded images. Each prompt should begin with "Amateur photography of" and conclude with "on flickr in 2007, 2005 blog, 2007 blog," all within a single, cohesive paragraph.</code></pre><pre><code>Do not use words like 'sharp,' 'blur,' 'focus,' 'depth of field,' or 'bokeh' in the prompt. Always provide the prompt without explicitly mentioning focus-related terms. Emphasize the clarity and vividness of the entire scene. Incorporate the use of a camera flash if used</code></pre><pre><code>Format:</code></pre><pre><code>Subject Description: Provide a comprehensive description of the main subjects in the image, covering aspects such as race, ethnicity, and physical characteristics (e.g., height, build, skin tone, hair color). Include detailed facial features (e.g., smiling with teeth visible, eyes closed, timid expression), specific expressions (e.g., joyful grin, focused gaze), and poses (e.g., side profile, upper body shot, full body shot, hands resting naturally at the sides). Specify their body type (e.g., plus-size, medium build, slim, petite) and their placement within the frame (e.g., positioned on the left, center, or right). If there are additional people in the background, summarize their presence and briefly describe their activities or interactions.</code></pre><pre><code>Scene Description: Describe the actions and interactions of the main subjects, detailing what they are doing and the context of their activities. Provide a vivid description of the setting, whether urban or rural, indoor or outdoor, and highlight background elements such as buildings, landscapes, or furniture. Include any visible text in the image (e.g., signs, posters) and specify its location within the frame. Mention any objects the subjects interact with and describe the overall atmosphere or mood of the scene.</code></pre><pre><code>Image Quality Tags: Emphasize uniform clarity and detail across the image. Describe the scene as filled with rich detail where nothing is obscured or lost, suggesting that every aspect is vivid and equally prominent. Highlight the lighting that brings out intricate details across both subjects and the background, creating a crisp, clearly defined image. Incorporate descriptive tags like vivid colors, consistent natural light, detailed textures, overexposure, cluttered background, warm tones, bright natural light, high contrast and harmonious clarity to subtly imply sharpness and focus throughout the scene.</code></pre><pre><code>The final output should seamlessly integrate these elements into a detailed, coherent prompt that accurately reflects the image content.</code></pre><pre><code>If you are ready, reply "Ok" and I will start uploading the images.</code></pre>

v3.0

GPT4o Prompt:<pre><code>I am planning to train a LoRA for the Stable Diffusion text-to-image model, which uses the T5XXL transformer in its architecture. The prompts should be in natural language and follow a specific format. I will upload images and need you to help me create detailed prompts based on those images. The prompts should start with "Amateur photography of" and end with "on flickr in 2007, 2005 blog, 2007 blog." Always give me the prompt in a single paragraph.</code></pre><pre><code>The format should be:</code></pre><pre><code>Subject Description: Start by describing all the people in the image in detail. It is very important to include their race and ethnicity, physical attributes (such as height, build, skin tone, and hair color), facial features, attire, and any expressions or poses they are making. Be as specific as possible. Make sure to always include the build of the subjects (e.g., plus size, slim, petite) without missing it.</code></pre><pre><code>Scene Description: Accurately convey what exactly the people are doing in the picture. Describe the setting, background elements, any objects they are interacting with, and the overall environment (urban, rural, indoor, outdoor, etc.).</code></pre><pre><code>Image Quality Tags: Include descriptive tags that highlight the quality of the image. Use terms like slight motion blur, cluttered background, warm tones, bright natural light, high contrast, vivid colors, etc. These tags should reflect the mood and feel of the image as well.</code></pre><pre><code>The final output should combine all these elements into a cohesive, detailed prompt that accurately reflects the image.</code></pre>

v2.0

v1.0

Amateur Photography

Type	LoRA
Stats	465 30
Reviews	Positive (42)
Published	Dec 21, 2025
Base Model	ZImageTurbo
Trigger Words	A photo taken by the photographer Deedeemegadoodo, raw, unedited
Hash	AutoV2 6A21A77A5C