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Prompt-to-prompt.pdf

2208.01626.pdf
Preview of prompt-to-prompt
🔗 Source: arxiv.org
📊 Size: 29.21 MB
📄 Pages: 19 pages
⬇️ Downloads: 120

Summary

Recent large-scale text-driven synthesis models can generate diverse images from text prompts, but editing these images is challenging as small changes to the prompt can lead to completely different outcomes. Current methods require users to provide a spatial mask to localize edits, ignoring original structure and content. This paper introduces a prompt-to-prompt editing framework, where edits are controlled by text only, by analyzing and manipulating cross-attention layers in text-conditioned models. This approach enables localized editing, global editing, and control over the extent of word reflection in the image, without requiring model training, fine-tuning, or optimization.

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Description

Recent large-scale text-driven synthesis models can generate diverse images from text prompts, but editing these images is challenging as small changes to the...

Technical Information

  • File Format: PDF
  • File Size: 29.21 MB
  • Pages: 19
  • Language: EN
  • Total Downloads: 120
  • Last Updated: 1 week ago

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This PDF document about prompt-to-prompt provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into prompt-to-prompt.

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