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Crossroads

solo, upper body, looking at viewer, detailed background, detailed face, , (zulupunkai, zulu theme:1.1) jungle warrior, brown tribal clothing, warpaint, bones, bloodthirsty, defensive stance, colorful plants, stones, fronds, mysterious, jungle in background, humid climate, sunshine, cinematic atmosphere, <lora:add_detail:0.5>
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solo, upper body, looking at viewer, detailed background, detailed face, , (zulupunkai, zulu theme:1.1) jungle warrior, brown tribal clothing, warpaint, bones, bloodthirsty, defensive stance, colorful plants, stones, fronds, mysterious, jungle in background, humid climate, sunshine, cinematic atmosphere, <lora:add_detail:0.5>
female , Ripped, red eyes, , Platinum Blonde Undercut hair, Satisfaction wearing Sapphire Jogger pants, Tie-back top, , Cap, Cravat , Arms extended wide, expressing openness,
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female , Ripped, red eyes, , Platinum Blonde Undercut hair, Satisfaction wearing Sapphire Jogger pants, Tie-back top, , Cap, Cravat , Arms extended wide, expressing openness,
Eclectic "The Fortress of [Justification|Technology] ", Cozy, Royalcore, waning light, <lora:add_detail:0.5>
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Eclectic "The Fortress of [Justification|Technology] ", Cozy, Royalcore, waning light, <lora:add_detail:0.5>
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Model Description by Creator

Usually my LoRA testing ground, someone asked for it so i'll just post it here.

More examples are in images section using wildcards, randomized prompts and my own LoRA's.

Not the easiest or best model to work with but hey its here if you want to try it.

RECOMMENDATIONS :

  1. VAE : vae-ft-mse-840000-ema-pruned

  2. Clip Skip : 2

  3. Min Resolution : 512x768

  4. Hires-Fix : 1.5-2x

  5. Upscaler : 4xUltraSharp

  6. Denoising : 0.3-0.5

  7. ENSD : 31337

  8. Sampler : Upto you, but i use Euler a mostly

  9. For Better Faces/Eyes : install & use After Detailer

  10. Min Steps : 20

  11. CFG : 5-9

  12. Sample Negative Prompt :

    verybadimagenegative_v1.3, bad_prompt_version2, easynegative, bad-hands-5,

  13. For Higher Res Image generation on weaker hardware : enable xFormers, lowvram, use Tiled Diffusion & VAE, set token merging ratio to 0.2-0.3.

    Also Dynamic Thresholding for better details

  14. My general upscaling method :

    512x768 txt2img, 2x hires-fix with 4xUltrashap, 0.4 Denoising -> send to img2img ->

    ControlNet Tile Upscale with Tiled Diffusion & VAE.

Images Generated With This Model

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