vcm07
/

l1n3s

@@ -23,7 +23,7 @@ instance_prompt: l1n3s
 <!-- <Gallery /> -->
-New I_pomo mix models. Three models. Cool illustrations. Check on civitai for more information.
 The objective with this new version was to get very difficult illustration prompts right, and in many cases even without upscaling or without post edition of any type. A lot of methods were used to get to that objective that cost me a lot of work and experiments, and I think for now it is satisfying enough. Most images won't need upscaling. Sometimes the model will distort faces, so there is still an experimental vibe to the model, but this is uncommon. Good prompting from the user side is still needed, so I recommend an LLM to translate that ultra-cool illustration look that you want into a proper prompt, or you could just use my examples; all example images have the workflow included; just import it into comfy. I recommend that you use 48GB VRAM for quick inference, but it works fine with 24GB VRAM (lots of OOM errors with 24GB VRAM can happen if the illustration is too complex). The model this time is bigger, 1 GB, but it is worth it for the quality we get in the end. I will try in future versions to train smaller sizes while attempting to keep the high quality of outputs. The style tends towards abstract with dynamic brush strokes, paint splatters, etc.

 <!-- <Gallery /> -->
+New I_pomo mix models. Three models. Cool illustrations. Check on civitai for more information at civitai.com/models/652317.
 The objective with this new version was to get very difficult illustration prompts right, and in many cases even without upscaling or without post edition of any type. A lot of methods were used to get to that objective that cost me a lot of work and experiments, and I think for now it is satisfying enough. Most images won't need upscaling. Sometimes the model will distort faces, so there is still an experimental vibe to the model, but this is uncommon. Good prompting from the user side is still needed, so I recommend an LLM to translate that ultra-cool illustration look that you want into a proper prompt, or you could just use my examples; all example images have the workflow included; just import it into comfy. I recommend that you use 48GB VRAM for quick inference, but it works fine with 24GB VRAM (lots of OOM errors with 24GB VRAM can happen if the illustration is too complex). The model this time is bigger, 1 GB, but it is worth it for the quality we get in the end. I will try in future versions to train smaller sizes while attempting to keep the high quality of outputs. The style tends towards abstract with dynamic brush strokes, paint splatters, etc.