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AI Playground v3.0.3 beta - hot fix

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@bobduffy bobduffy released this 27 Mar 19:10
· 22 commits to main since this release
v3.0.3-beta_hf
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AI Playground Version v3.0.3 beta - hot fix

This is a hot fix release to AI Playground 3.0.3-beta to address bugs and version compatibility issues. For compatibility with latest OVMS, update your NPU driver to the latest version

Hot Fix Updates

  • Updated version of OVMS to fix RAG embedding issues on GPU
  • Updated Llama.cpp to fix issues with Qwen3-4B output as reasoning
  • Removed Mistral 7B-instruct-v0.2-int4 and Phi-3-mini-4k-instruct-gq from OpenVINO model list for instability with latest backend updates

Version v3.0.3 beta Updates

See: https://github.com/intel/AI-Playground/releases/tag/v3.0.3-beta

Known Issues

  • The installer can fail due to environmental issues. See the Troubleshooting guide for help
  • Random black image output for SDXL (HD, ControlFace, Sketch2Photo) on Intel Core Ultra Series 3. Rerunning prompt and seed may correct. Fix will be provided in PyTorch 2.12
  • Systems with discrete GPU and integrate GPU may need to disable iGPU when installing
  • Systems with more than one GPU may need to disable idle GPUs when inferencing
  • An interrupted download can block models from downloading properly. To fix this, go to the model location, delete the temporary file, and try again.
  • The Colorizer workflow is limited to Xe2-supported GPUs (LNL and BMG)
  • A PC restart may be needed after installation for optimal functionality and performance
  • Reinstalling over an existing AI Playground installation will delete any ComfyUI nodes.
  • Users can adjust settings beyond their specific system's ability resulting in failed generations

Version 3.0.3 beta Supported Hardware

  • Intel Core Ultra Series 3 Processors (PTL)
  • Intel Core Ultra Series 2 (H) Processors (ARL-H)
  • Intel Core Ultra Series 2 (V) Processors (LNL)
  • Intel Core Ultra Series 1 (H) Processors (MTL-H)
  • Intel Arc B Series GPU Cards (BMG)
  • Intel Arc A Series GPU Cards with 8GB+ Memory (ACM)
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