Skip to content

AI Playground v2.0.4 beta

Pre-release
Pre-release
Compare
Choose a tag to compare
@bobduffy bobduffy released this 04 Feb 21:08
· 3 commits to main since this release
v2.0.4-beta
f8b40ee

This is an updated release of AI Playground 2.0 alpha with updates and fixes. This release provides a single installer for all supported hardware including the latest Intel Arc B580 GPU

In this release

  • All features from AI Playground 2.0a
  • CopyFace workflow added providing an image to image solution similar to FaceSwap
  • DeepSeek models added to drop down model list in the Answer tab for IPEX-LLM mode
    -- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
    -- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
  • Added High VRAM warning to workflows that usually are best run on systems with more than 8GB of VRAM
  • Updated language translations
  • By default Create is set to Standard resolution with Fast mode on, to provide the fastest initial experience for image generation
  • Higher resolution options added up to 0.5 megapixel for Default Mode, Standard Resolution ( ie SD 1.5)

Fixes

  • Missing language translations for parts of the UI have been added.
  • Negative prompt fixed can now be applied to Default mode where appropriate - does not work in Fast mode
  • Hyperlinks from Model Settings fixed
  • Safe Check toggle feature added back to Settings. This fixes an issue where image generation returns black images, being censored. Turning off this feature will bypass it
  • Broken FaceSwap and CopyFace installation fixed, due to a move the custom node repo being moved
  • VC++ redistributable check and installation added back to the installation
  • Llama.cpp default model set, matching the IPEX-LLM experience

Known Issues

  • When running and installing workflows like CopyFace for the first time, the installation process may take a long time and not fully execute. A restart of AI Playground may be needed to complete the installation.
  • PC restart may be needed after installation of AI Playground, otherwise can result in poor performance or functionality issues
  • Performance degradation can happen after running a few different high memory models. Restarting backends through Backend Installation Manager will restore performance
  • Network firewalls and protected networks can interrupt or block the installation process. Install using an open network.
  • Alternate Python and Git installations on the PC may conflict with installation.
  • VC++ may be detected and not installed by the installer but may be required to be installed if out of date for the hardware.
Assets 3
Loading