# AI use cases for DeepSeek Whalechan (Neko3000/deepseek-whalechan) Repo: [Neko3000/deepseek-whalechan](https://github.com/Neko3000/deepseek-whalechan) | Use cases: 3 | Page: https://dedupedai.com/use-cases/neko3000-deepseek-whalechan/ A Python repo with a Whale-chan character spec, visual asset library, and two agent skills for generating consistent character illustrations and multi-panel comedy comics. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Generate on-model Whale-chan illustrations for a poster: https://dedupedai.com/use-cases/neko3000-deepseek-whalechan/generate-consistent-whale-chan-illustrations/ - Turn an error log or chat into a Whale-chan comedy comic: https://dedupedai.com/use-cases/neko3000-deepseek-whalechan/build-whale-chan-comedy-comic-from-source/ - Choose a chibi form for a high-density sticker set: https://dedupedai.com/use-cases/neko3000-deepseek-whalechan/pick-character-form-for-sticker-set/ ## How to generate on-model Whale-chan illustrations for a poster with DeepSeek Whalechan Repo: [Neko3000/deepseek-whalechan](https://github.com/Neko3000/deepseek-whalechan) | Difficulty: Intermediate | Time: 1 hour | Basis: From the README Produce identity-locked Whale-chan art in a chosen body form using the image character skill. **Who it is for:** A fan creator or small team making a poster, social post, or banner that must show the same Whale-chan design every time. **The problem:** Generated character art drifts in hair, whale-fin ears, cowlick, or uniform from one image to the next. **The outcome:** A set of illustrations that keep the locked visual features and use the form that fits the layout. ### 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 to paste into your agent ```text Using the Neko3000/deepseek-whalechan repo, run the whalechan-image-character skill for , 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. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/neko3000-deepseek-whalechan/generate-consistent-whale-chan-illustrations/ ## How to turn an error log or chat into a Whale-chan comedy comic with DeepSeek Whalechan Repo: [Neko3000/deepseek-whalechan](https://github.com/Neko3000/deepseek-whalechan) | Difficulty: Intermediate | Time: 1 hour | Basis: From the README Plan and render several multi-panel comedy comics from one technical source using the comic skill. **Who it is for:** A developer or community writer with a funny error log, chat thread, or user rant who wants a short comic set from it. **The problem:** Writing a set of comedy comics from a single source takes planning time, and the jokes tend to repeat the same angle. **The outcome:** A table of ranked comic ideas and one generated multi-panel comic per selected idea, with one confirmation step. ### Steps 1. Read the Installation & Environment Setup section of the README and prepare the environment. 2. Open the whalechan-image-comic skill folder under skills/ and read its workflow. 3. Give the skill the source text, such as an error log or chat, and let it freeze the candidate ideas. 4. Check the N-idea table, image total, and role allocation, then confirm once. 5. Review each generated comic against the Multi-Panel Grammar and the Three Exaggeration Tiers. ### Prompt to paste into your agent ```text Using the Neko3000/deepseek-whalechan repo, run the whalechan-image-comic skill on with N set to 5 by default. Output the N-idea table and one multi-panel comic per selected idea. Verify that the table was shown and confirmed before any images were generated. ``` ### Caveat The README says the comic skill uses one confirmation before generating, so plan for that gate rather than expecting a fully automatic run. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/neko3000-deepseek-whalechan/build-whale-chan-comedy-comic-from-source/ ## How to choose a chibi form for a high-density sticker set with DeepSeek Whalechan Repo: [Neko3000/deepseek-whalechan](https://github.com/Neko3000/deepseek-whalechan) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README Select a compact body form with the right head ratio for stickers and gag panels. **Who it is for:** A sticker maker or chat-pack designer who needs small, expressive Whale-chan images that read well at tiny sizes. **The problem:** Standard proportions do not carry emotion at sticker size, and the form choice is easy to get wrong. **The outcome:** A sticker-ready set in the chibi or super-deformed form, with the head ratio inside the README acceptance band. ### Steps 1. Read the Five Character Form Profiles and Proportions table in the README. 2. Choose chibi for gag panels and stickers, or super-deformed for comedic twists and dense sticker sets. 3. Open the whalechan-image-character skill and select that form in the proposal stage. 4. Generate the set and check the skeletal joint fitting results against the listed acceptance range. ### Prompt to paste into your agent ```text Using the Neko3000/deepseek-whalechan repo, generate a image sticker set of Whale-chan in the chibi form through the whalechan-image-character skill. Output the WebP files and their head-ratio check results. Verify that each image is inside the 2.372 to 2.672 head-ratio band for chibi. ``` ### Caveat The README gives the form ratios, but the exact way to request a form may differ, so confirm it in the skill workflow. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/neko3000-deepseek-whalechan/pick-character-form-for-sticker-set/