<h1 id="heading-3135">Hello world</h1><h3 id="heading-3136">Let's get real</h3>It's been a while since the last update, and this iteration is quite different than the last. That's not to say it is necessarily groundbreaking compared to anything else on this website (it's a merge after all), but I've tried to focus on a couple of very specific things:<ol><li>A high amount of realism without any use of LoRAs or embeddings.Having a good basis provides a lot of room to go crazy with those later.</li><li>Functional with a limited/small negative prompt.Similarly, a small negative prompt often makes for the most realistic outputs. It is always possible to write your novel, or add embeddings in there along the way.</li><li>Consistency in poses / hands / other features within these constraints.</li><li>Decent control over light and darkness through prompt aloneThere are great LoRAs out there for lighting / noise offset, but there is already some great functionality by default.</li><li>Responsiveness to the wildest lists of wildcards ChatGPT has to offer.I like to have random lists of locations, time periods, clothing/materials, concepts, all generated (and embellished) by your local GPT.</li></ol>Recommended VAE (not included): <a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/sd-vae-ft-mse-original/tree/main">vae-ft-mse-840000-ema-pruned</a>-High base resolutions are advised: such as 640x896 for a portrait format-If possible use hires.fix or a similar implementation: a denoise of 0.3~0.5 will do well in most situations various <a target="_blank" rel="ugc" href="https://upscale.wiki/wiki/Model_Database">ESRGAN upscalers </a>give good results. <a target="_blank" rel="ugc" href="https://drive.google.com/drive/folders/1VkT6tpbCPn2gKZYPtawDJGMpLg6EyRpO?usp=sharing">x1_ITF_SkinDiffDetail_Lite_v1</a> is the one used in all examples here, but there are other great options.-Don't feel obligated to use time consuming samplers such as the one in most examples. I was suffering from a short bout of SDE Karras addiction when generating the examples, but I have since come back to 2M Karras @ 15~20 steps, which is usually my baseline and more than fine on its own (even with hires.fix).*Note that some of the example prompts can generate nudity, prompt against this to prevent it. For actual examples of nudity you can check out the album uploaded separately.**The model in the metadata is QGO-3002a, which is the same as QGO-PromptingReal-v1

QGO - PromptingReal

It's been a while since the last update, and this iteration is quite different than the last. That's not to say it is necessarily groundbreaking compared to anything else on this website (it's a merge after all), but I've tried to focus on a couple of very specific things:<ol><li>A high amount of realism without any use of LoRAs or embeddings.Having a good basis provides a lot of room to go crazy with those later.</li><li>Functional with a limited/small negative prompt.Similarly, a small negative prompt often makes for the most realistic outputs. There is always room to write your novel, or add embeddings in there later.</li><li>Consistency in poses / hands / other features within these constraints.</li><li>Responsiveness to the wildest lists of wildcards ChatGPT has to offer.I like to have random lists of locations, time periods, clothing/materials, concepts, all generated (and embellished) by your local GPT. </li></ol>Recommended VAE (not included): <a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/sd-vae-ft-mse-original/tree/main">vae-ft-mse-840000-ema-pruned</a>*Note that some of the example prompts can generate nudity, prompt against this to prevent it. For actual examples of nudity you can check out the album uploaded separately.**The model in the metadata is QGO-3002a, which is the same as QGO-PromptingReal-v1

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