Change8

v6.14.0-rc2

Breaking Changes
📦 invokeaiView on GitHub →
1 breaking15 features🐛 4 fixes🔧 17 symbols

Summary

This release introduces significant new features including video generation, support for multiple new AI models (Krea, Ernie, Ideogram, Flux.2), multi-GPU acceleration, and native Intel XPU support. It also brings performance improvements and enhancements to the Canvas and workflow management tools.

⚠️ Breaking Changes

  • Not all LoRAs will currently load. Please report those that don't in Issues: https://github.com/invoke-ai/InvokeAI/issues.

Migration Steps

  1. Configure InvokeAI for multi-GPU generation if you have two or more GPUs installed: https://invoke.ai/configuration/invokeai-yaml/#multi-gpu-generation
  2. Set VAEs to run on the CPU via the Model Manager to reduce VRAM contention.

✨ New Features

  • Video generation support via Wan 2.2 (text-to-video, image-to-video, image-to-image-video).
  • Support for Krea.2-Turbo, Krea.2-Raw, Ernie Turbo, Ideogram 4, and Flux.2 Dev models.
  • Anima controlnets and inpainting support.
  • Flux.2 PiD support for super resolution up to 4K.
  • Multi-GPU support for parallel generation across multiple GPUs.
  • Native Intel XPU support.
  • VAEs can now be run on the CPU to reduce VRAM contention.
  • Improved support for LoRA sliders, including UNet-only sliders and editing min/max/default values.
  • Pressure-sensitive brush opacity on tablets and touch screens in Canvas.
  • Fine-grid hint added to the move tool in Canvas.
  • New transparency lock for Gradients and Shapes in Canvas.
  • Clip Strokes extended to Bbox and Rect/Oval shapes in Canvas.
  • Optimized graph execution for faster complex workflows.
  • Added a LoRA collection picker node to stack multiple LoRAs.
  • Workflows can now call other workflows.

🐛 Bug Fixes

  • Fixed ComfyUI model_sampling keys when loading Anima checkpoints.
  • Relaxed 5s pytest-timeout marks that flake on slow CI runners.
  • Ignored ComfyUI model_sampling keys when loading Anima checkpoints.
  • Don't hold VRAM in an idle server (CUDA context at startup).

Affected Symbols