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| "To use inpainting, upload your image into the \"Load Image\" above, right click -> Open in MaskEditor -> mask out what you need -> press save.\nThen edit everything you need in the subgraph to the right (e.g. resolution at width/height, seed, steps, sampler, prompt, etc).\n\nDefault SDXL resolution is 1024, but since Lustify V8 (Apex) supports 1536 res, you make use of that. If that doesn't work out - switch back to 1024 (e.g. 896x1152, 832x1216, 1024x1024)." |
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| "You can always open the subgraph to see what's inside (press the little icon on the top right corner of the subgraph) |\n |\n V" |
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| "Besides the more common 1024 resolution, Lustify V8 (Apex) was also trained on 1536 resolution. If you decide to go into the 1536 territory - here are some examples you could use (set these values manually into the width_override / height_override).\n\n1536 x 1536\n1344 x 1664 / 1664 x 1344 \n1280 x 1920 / 1920 x 1280\n1152 x 2048 / 2048 x 1152\n" |
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| "To use ControlNet, load your input image down below and unbypass the \"ControlNet In First Pass\" in the \"Groups Bypasser\"." |
| ], |
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| "You can skip 2a and 2b completely if the quality from highres pass is decent enough already, or you can pick either 2a or 2b. Which one - depends on you. Tiled Upscale is less resource hungry, but also MUCH worse than SeedVR.\n90% of the time I prefer the result from 2b (SeedVR)." |
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| "Once you've generated an image you like, you really should unbypass the Upscale Pass. Otherwise you're just holding back the full potential of the model (not just Lustify, but literally any diffusion model).\nIf your first pass was made with 1536 resolution, lower the upscale_by value to around 1.2 (it's down below in this subgraph). For 1024 resolution first pass it should be around 1.4-1.5 (if you use the 4x upscale model like the one I do)." |
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