Easily Run MagicAnimate with ComfyUI

Hacker News

Hi HN! I just shipped some custom nodes that let you easily use MagicAnimate inside ComfyUI! https://github.com/thecooltechguy/ComfyUI-MagicAnimate/ Example workflows: Animate any image using any DensePose video input: https://comfyworkflows.com/workflows/2e137168-91f7-414d-b3c6... Note: The video input must be in the DensePose format! I’m working on a new version of the above workflow that will let you use any video as input, so that the DensePose frames are auto-extracted from it and used as input to MagicAnimate. Have fun, and lmk if you have any feedback! :) Also, feel free to join our Discord with 1.3K+ other people also making cool stuff w/ ComfyUI: https://discord.gg/hwwbNRAq6E

Visit product View on Hacker NewsDec 7, 2023

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Actual performance

2points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, using · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

13%13% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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