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The benchmark will evaluate the best realistic and detailed output, inferencing using the base model and LoRA custom model

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Diffusion Models Benchmark

TEST

Positive Prompt

close-up cinematic film still of ((woman)) in a restaurant , wearing a dress, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, film grain, grainy

Negative Prompt

Asian, cartoon, 3d, (disfigured), (bad art), (deformed), (poorly drawn), (extra limbs), (close up), strange colors, blurry, boring, sketch, lackluster, big breast, large breast, huge breasts, face portrait, self-portrait, signature, letters, watermark, disfigured, kitsch, ugly, oversaturated, greain, low-res, deformed, blurry, bad anatomy, poorly drawn face, mutation, mutated, extra limb, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye

BASE MODEL

  • SDXL 1.0
  • SDXL 1.0 + REFINER 1.0
  • KANDINSKY 2.2
  • IMAGEN

WITH LORA MODEL

The dataset used is ARQUE Bag of Prada.

SDXL + LoRA Training Set Configuration

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The benchmark will evaluate the best realistic and detailed output, inferencing using the base model and LoRA custom model

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