Name: Amateur Photography
Rating: 5 (4202 reviews)
Author: peterkickasspeter

Civitans! Most issues have been resolved! LTX generations and training will have issues, ComfyCloud is also having some issues with outputs. Our team is on it, working hard to get things running smoothly again, but you may experience some inconsistent behavior in the meantime. Thanks for your patience!

Generation and Training Limitation

Krea 2 LoRA training is 50% off, and we're running a Krea 2 Training Contest with 1.8 million Buzz in prizes across four LoRA categories.

⚡ Krea 2 Training Contest + 50% Off Training

The latest version workflow and nodes are here <a target="_blank" rel="ugc" href="https://github.com/peterkickasspeter-civit/ComfyUI-ZImageTurboProgressiveLockedUpscale/tree/experiment">https://github.com/peterkickasspeter-civit/ComfyUI-ZImageTurboProgressiveLockedUpscale/tree/experiment</a> <span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">===== Custom node: <a target="_blank" rel="ugc" href="https://github.com/peterkickasspeter-civit/ComfyUI-ZImageTurboProgressiveLockedUpscale">https://github.com/peterkickasspeter-civit/ComfyUI-ZImageTurboProgressiveLockedUpscale</a> Workflow is in the showcase images. More details here - <a target="_blank" rel="ugc" href="https://www.reddit.com/r/StableDiffusion/comments/1r1qyj2/zimageturboprogressivelockedupscale_works_with_z/">https://www.reddit.com/r/StableDiffusion/comments/1r1qyj2/zimageturboprogressivelockedupscale_works_with_z/</a> Distill lora for base - <a target="_blank" rel="ugc" href="https://huggingface.co/alibaba-pai/Z-Image-Fun-Lora-Distill/tree/main">https://huggingface.co/alibaba-pai/Z-Image-Fun-Lora-Distill/tree/main</a> *use either Z-Image-Fun-Lora-Distill-8-Steps.safetensors or Z-Image-Fun-Lora-Distill-4-Steps-2602-ComfyUI.safetensors

Zbase Nano banana at home

test version. i am experimenting with a new node that i have been working on these last few days. the lora has huge dark skin bias unless prompted for something else. i also signed up for this civitai creators program so i set the version to early access to support my runpod costs. i do need some donations. only download if you want to donate. thanks if you download it, you can just use it with the previous version workflow or basically any workflow. results sometimes are better than with the node i am working on and the showcased images (the node still has bugs and i am testing so i cant post it yet) you can use "raw photo candid" in your prompt but i don't think it helps so much. worth a try

Zbase test

Z Image Base and Turbo

Z-Image Turbo 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

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

physical violence

weapon violence

wide hips

revealing clothes

downblouse

convenient censoring

pg-13

corpses

suggestive

oral invitation

pg13

sexy

huge breasts

thick thighs

sexual situations

male nudity

disturbing

male swimwear or underwear

female swimwear or underwear

partial nudity

undressed

female nudity

breasts out

exposed female nipple

breast out

lingerie

male underwear

hair over breasts

female swimwear

gigantic breasts

no panties

graphic violence or gore

covered nipples

huge butt

strapless leotard

sitting on face

emaciated bodies

one breast out

female underwear

nude

nsfw

graphic male nudity

adult toys

illustrated explicit nudity

nudity

graphic female nudity

hentai

futanari

porn

sexual intent

genitals

peeing

vore

oral

sexual activity

anal

blowjob

dildo riding

incest

hanging

hate symbols

nazi party

white supremacy

diapers

scat

self injury

hate speech

urine

extremist

child on child

latex clothing

swimwear

bukkake

fellatio

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

triple fellatio

autofellatio

fucked silly

cum on pussy