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Draw Things vs FLUX

Draw Things logo

Draw Things

7.8#25 in ai image generatorsFrom $8.99 a month
Free planiOSAPImacOS
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FLUX logo

FLUX

9.1#1 in ai image generators$0.01 one-time
Free planWebAPILinuxmacOS
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What both publish

FactDraw ThingsFLUX
CompanyThe site identifies the maker as Draw Things, Inc.Black Forest Labs says it works from labs in Freiburg and San Francisco; its registered address is in Freiburg im Breisgau, Germany.
Free planYesYes
Image editingYesFLUX.2 models support prompt-driven image editing, with editing prices listed separately from text-to-image prices.
Image generationUsers can create images from text prompts and download models to generate them locally on their device.FLUX.2 models generate images from text prompts and support megapixel-based output pricing.
IntegrationsEnterprise plans can integrate Draw Things local inference or Cloud Compute into customers’ apps.FLUX.1 Kontext and FLUX1.1 are available through Microsoft Azure AI Foundry for enterprise deployment.
ProductDraw Things is an AI image-generation app for generating images locally and offline.Black Forest Labs describes FLUX as AI models for image and video generation and editing.

Draw Things plans

  • Free EditionFree
  • Draw Things+$8.99 a month
  • CommunityFree
  • EnterprisePriced on request

FLUX plans

  • Open weights — FLUX.2 [klein] 4BFree
  • Open weights — FLUX.2 [dev]Free
  • FLUX.2 [klein] 4B$0.01, paid once
  • Pay as you go — FLUX.2 [klein] 4B$0.01, paid once
  • Pay as you go — FLUX.2 [klein] 9B$0.02, paid once
  • FLUX.2 [klein] 9B$0.02, paid once

Pick Draw Things if…

Draw Things suits people who want to generate or edit images with models running locally, including offline. It also caters to users seeking cloud compute or organizational integration options.

Pick FLUX if…

FLUX may suit people working in image or video generation and editing, including marketing, design, product visualization, creative production, entertainment, and e-commerce workflows. It also offers self-hosted open weights for people who want to deploy models on their own infrastructure.

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