Z Image Turbo Versions Edit: <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">This is possibly going to be the last of this model range, and is very much ready for use as is. Making this has been a great learning experience, and a lot of what's been learned here will be carried forward into the next model. I hate asking, but if you can spare some buzz for training, or add anything you generate with it to the gallery here, it'll be appreciated. <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">The current optimum (for my taste) generation parameters are 4-6 Steps, CFG 1.0, using DPM++ 2s a RF with Bong Tangent, Beta, Simple. This works well with Forge Neo. If you use Comfy, YMMV. It does seem to do well with other schedulers/samplers, but there, you may find yourself using 6-8 steps, with Euler, for example. <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">As always, feedback welcome. <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">Have fun using it! :) The new LexiVision-Z has been trained on top of the base Z-Image-Turbo, an experiment with generation of synthetic data using SDXL LexiVision AIO VNSFW and training locally. Beta 2 has been trained for an additional 4000 steps. I'm still trying to tweak it stylistically to match a more analog aesthetic, but it's taking a lot longer than I thought it would. It can work with DPM++/Simple, Res Multistep/Simple or Beta, but I'd suggest playing around with your favourite combo. SDXL Versions<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">This is a new merge of <a target="_blank" rel="ugc" href="https://civarchive.com/models/1607200">AIO-NSFW</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"> with the fantastic <a target="_blank" rel="ugc" href="https://civarchive.com/models/897413?modelVersionId=2117129">Photo1</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"> by <a target="_blank" rel="ugc" href="https://civarchive.com/user/SubtleShader">SubtleShader</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">.This is another merge of two private models that are being used to generate synthetic training data for other models. There are various 'flavours' of model, the first of which will be one focused (pardon the pun) on photo-realistic pictures of more mature models.Prompts can be generic or more descriptive, and prompt adherence is ok. The model's fairly NSFW, so be warned. It can generate SFW or NSFW content equally well. It's DMD2 based, and the VAE is baked in, so few steps are required for generation. As always, my personal favourite generation parameters are in the showcase images.

LexiVision II & LexiVision-Z

This version has just had some CLIP surgery, with the weights being changed to FP32. Giving a slight increase in granularity and adherence to the prompt. The UNET and VAE are the same as the AIO-VNSFW model.

Files with SHA256: 5810dfa574ac033ac6ad537ff7ce0876871c75d71d4407c4a94bafa6987a65cf