TempestV0.1 / README.md
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metadata
pipeline_tag: text-to-image
widget:
  - text: >-
      a woman sitting in a wooden chair in the middle of a grass field on a
      farm, moonlight, best quality, hd, anime art
    output:
      url: GHm4qMhXQAASGD4.jpeg
  - text: dark cinematic, Kodak RAW, dark souls knight, a dying world,
    output:
      url: ComfyUI_11813_.png
  - text: juicy burger, dark cinematic, Kodak RAW
    output:
      url: a.png
license: gpl-3.0
Prompt
Food photography style photo RAW,piece of fried grilled meat, splashes of ketchup and mustard sauce, (rosemary), spices, exceptional shallow depth-of-field capabilities, atmospheric haze blur,vivid colors,high quality textures of materials, volumetric textures, coating textures, metal textures . Appetizing, professional, culinary, high-resolution, commercial, highly detailed
Prompt
amazing quality, sci-fi, desert landscape, a massive dragon crashing through the dunes, epic scene, fabulous, knight running away
Prompt
Super Closeup Portrait, action shot, Profoundly dark whitish meadow, glass flowers, Stains, space grunge style, Jeanne d'Arc wearing White Olive green used styled Cotton frock, Wielding thin silver sword, Sci-fi vibe, dirty, noisy, Vintage monk style, very detailed, hd, cinematic, 2k
Prompt
lizard
The TempestV0.1 Initiative is a powerhouse in image generation, leveraging an unparalleled dataset of over 6 million images, spanning a dynamic range from photorealism to groundbreaking digital and anime styles. The collection's vast scale, with resolutions from 1400x2100 to 4800x7200, encompasses 200GB of high-quality content.

With an exceptional 2 million training iterations, TempestV0.1 surpasses its rivals, Juggernaut and RealVisXL, by a significant margin, showcasing an extraordinary commitment to excellence. Its unique dual-captioning system, merging precise manual annotations with GPT-4's advanced captioning abilities, sets a new standard for generating images from concise prompts with unmatched accuracy.

TempestV0.1 shatters the conventional limits of image generation, particularly in delivering unparalleled detail and texture. Its extensive and diverse dataset ensures it outperforms competitors in rendering complex scenes and nuanced features, setting a new benchmark for realism and quality in the field.