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Local Diffusion

by Blace Plugins·VFX

Illustrative cover generated by AnyPlugins — no product screenshot available.

Why we like it

Local Diffusion earns its place in the aescripts library as a text-to-image generator that runs inside After Effects, built on Stable Diffusion and powered by blace.ai. Its recent updates lean toward stability and memory handling, including clearer out-of-memory reporting and a Stop Processing control.

What is Local Diffusion?

Local Diffusion brings text-to-image generation to After Effects, built on Stable Diffusion and powered by blace.ai. It runs on After Effects 2022 and above, and a free trial is available for testing your configuration before committing.

The plugin includes a Stop Processing button that cancels long-running computations immediately, along with reporting for out-of-memory situations. A CUDA Memory Sharing option accelerates rendering of large resolutions above 4k on CUDA hardware. Recent updates moved the tool to a new AI backend and improved stability in compositions that use multiple effect instances.

A demo video is available on the developer's page, and this catalog lists Local Diffusion as free. Check the developer's page for current licensing details and the specifics of its limitations. The latest release is version 2.3.57.

Who is Local Diffusion best for?

Local Diffusion is best for generating images from text prompts inside After Effects using Stable Diffusion.

How much does Local Diffusion cost?

Local Diffusion is completely free to download and use.

Key features

  • Text-to-image generation based on Stable Diffusion, powered by blace.ai
  • Stop Processing button that cancels long-running computations immediately
  • CUDA Memory Sharing option to accelerate rendering of resolutions above 4k on CUDA
  • Reporting of out-of-memory situations
  • New AI backend adopted in recent updates
  • Improved stability in compositions with multiple effect instances

Tags

#After Effects#Stable Diffusion#Text-to-image#AI#blace.ai#Image generation#Generator

Frequently asked questions

Does Local Diffusion work with After Effects 2022?

Local Diffusion runs on After Effects 2022 and above, so the 2022 release and later versions are supported. Before purchasing, the developer recommends testing your specific configuration using the free trial, since setup can vary between systems. Recent updates have also addressed initialization issues on some machines, including systems with AMD cards, and improved stability in compositions that use multiple effect instances. If you want to confirm your exact setup works, the free trial is the safest way to check compatibility ahead of time.

Is Local Diffusion free to use?

Local Diffusion is listed as free in this catalog, though a free trial is also mentioned for testing your configuration before purchasing, so licensing terms may differ. For the current and definitive licensing details, check the developer's page directly rather than relying on a fixed figure here. The developer's page is also where you can start the trial and review any conditions attached to it. Pricing and licensing frameworks can change over time, and the plugin's licensing framework was updated in a recent release, so confirming the latest terms there is the best approach.

How do I cancel a long computation in Local Diffusion?

Local Diffusion includes a Stop Processing button that cancels long-running computations immediately, which was introduced in a recent update. This gives you a way to interrupt a generation without waiting for it to finish on its own. Alongside this, the plugin now reports out-of-memory situations more clearly, so if a computation is stalling because of memory limits, you get feedback about what is happening. Both of these came from the same period of updates to the plugin.

How can I speed up rendering above 4k in Local Diffusion?

Local Diffusion offers a CUDA Memory Sharing option that accelerates rendering of large resolutions above 4k on CUDA hardware, added when the plugin switched to a new AI backend. If you work at high resolutions on a CUDA-capable setup, enabling this option is the relevant setting to look at. Keep in mind that out-of-memory situations are now reported more clearly, which helps when pushing large frames, and a Stop Processing button lets you cancel a computation if it runs longer than expected. Testing your configuration with the free trial can confirm how it performs on your hardware.

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