Stable Diffusion Pokémon Cards

Hacker News

This is a toy full-stack ML app. It takes your text prompt as input and uses three models to produce four sample Pokémon card images: 1. StableDiffusion fine-tuned on Pokemon images 2. a basic RNN for Pokémon name generation 3. a basic OpenCV background-removal model. The results can be occassionally excellent. Some recent good prompts from users are: - automobile with wings - water pokemon with two heads and amphibian legs - jeff bezos - phil collins Other good previous prompts are provided as auto-complete options. My favorite prompt at the moment is 'Willy Wonka Cat' because the model nails the combination of Gene Wilder's Willy Wonka outfit and a typical feline Pokémon form. There's really no interesting technical innovation in this demo. It's just a hopefully interesting combination of stuff that already exists. It's become so easy to stick together ML models, often without training most or all of them yourself. video demo: https://youtu.be/mQsMuM8d4Qc cloud platform: https://modal.com code : https://github.com/modal-labs/modal-examples/tree/main/06_gp...

Visit product View on Hacker NewsJan 14, 2023

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3points

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nativeThis product was originally launched on this platform.

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54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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TrustMRRLess likely to generate early MRR · Strong signals: video, users · Missing: mobile apps, ios, personal

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Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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