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

Amateur Photography

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>

Files with SHA256: 61cff4eebddd72cd3fdca25e129ff9d34d4aa2847a7c7a3ec0ae7b6740246cae