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How to generate on-model Whale-chan illustrations for a poster with DeepSeek Whalechan

Produce identity-locked Whale-chan art in a chosen body form using the image character skill.

  • Top pick
  • Content
  • Intermediate
  • 1 hour
  • From the README
  • Any agent

Who it is forA fan creator or small team making a poster, social post, or banner that must show the same Whale-chan design every time.

The problemGenerated character art drifts in hair, whale-fin ears, cowlick, or uniform from one image to the next.

The outcomeA set of illustrations that keep the locked visual features and use the form that fits the layout.

What you need first

  • Python environment, as described in the Installation & Environment Setup section of the README
  • Image generation access as set up through the README's local toolchain or agent skills
  • A clear idea of the target use: poster, sticker, banner, or comic

Steps

  1. Open the Installation & Environment Setup section of the README and prepare the Python environment it describes.
  2. Open the whalechan-image-character skill folder under skills/ and read its workflow.
  3. Pick a form from the five forms, such as standard for posters or semi-chibi as the default baseline.
  4. Review the seven-column proposal table, choose a proposal, then confirm scope and budget.
  5. Generate the images and check the Dual QA System results before using any output.

Prompt for your agent

Using the Neko3000/deepseek-whalechan repo, run the whalechan-image-character skill for <target scene, for example a standing poster>, using the form that fits that layout. Output the selected proposal and the generated WebP illustrations. Verify that the deterministic format checks and the native-res visual QA matrix both passed before reporting.

Caveat. The README excerpt does not show the exact setup commands, so follow the Installation & Environment Setup section for the real steps.

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