4081f8701e
* fix(flux2): Fix image quality degradation at resolutions > 1024x1024 This commit addresses severe quality degradation and artifacts when generating images larger than 1024x1024 with FLUX.2 Klein models. Root causes fixed: 1. Dynamic max_image_seq_len in scheduler (flux2_denoise.py) - Previously hardcoded to 4096 (1024x1024 only) - Now dynamically calculated based on actual resolution - Allows proper schedule shifting at all resolutions 2. Smoothed mu calculation discontinuity (sampling_utils.py) - Eliminated 40-50% mu value drop at seq_len 4300 threshold - Implemented smooth cosine interpolation (4096-4500 transition zone) - Gradual blend between low-res and high-res formulas Impact: - FLUX.2 Klein 9B: Major quality improvement at high resolutions - FLUX.2 Klein 4B: Improved quality at high resolutions - Baseline 1024x1024: Unchanged (no regression) - All generation modes: T2I and Kontext (reference images) Fixes: Community-reported quality degradation issue See: Discord discussions in #garbage-bin and #devchat Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> * fix(flux2): Fix high-resolution quality degradation for FLUX.2 Klein Fixes grid/diamond artifacts and color loss at resolutions > 1024x1024. Root causes identified and fixed: - BN normalization was incorrectly applied to random noise input (diffusers only normalizes image latents from VAE.encode) - BN denormalization must be applied to output before VAE decode - mu parameter was resolution-dependent causing over-shifted schedules at high resolutions (now fixed to 2.02, matching ComfyUI) Changes: - Remove BN normalization on noise input (not needed for N(0,1) noise) - Preserve BN denormalization on denoised output (required for VAE) - Fix mu to constant 2.02 for all resolutions (matches ComfyUI) Tested at 2048x2048 with FLUX.2 Klein 4B * Chore Ruff --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com> Co-authored-by: Jonathan <34005131+JPPhoto@users.noreply.github.com>
Invoke - Professional Creative AI Tools for Visual Media
Invoke is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. Invoke offers an industry leading web-based UI, and serves as the foundation for multiple commercial products.
- Free to use under a commercially-friendly license
- Download and install on compatible hardware
- Generate, refine, iterate on images, and build workflows
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Documentation
| Quick Links |
|---|
| Installation and Updates - Documentation and Tutorials - Bug Reports - Contributing |
Installation
To get started with Invoke, Download the Launcher.
Troubleshooting, FAQ and Support
Please review our FAQ for solutions to common installation problems and other issues.
For more help, please join our Discord.
Features
Full details on features can be found in our documentation.
Web Server & UI
Invoke runs a locally hosted web server & React UI with an industry-leading user experience.
Unified Canvas
The Unified Canvas is a fully integrated canvas implementation with support for all core generation capabilities, in/out-painting, brush tools, and more. This creative tool unlocks the capability for artists to create with AI as a creative collaborator, and can be used to augment AI-generated imagery, sketches, photography, renders, and more.
Workflows & Nodes
Invoke offers a fully featured workflow management solution, enabling users to combine the power of node-based workflows with the easy of a UI. This allows for customizable generation pipelines to be developed and shared by users looking to create specific workflows to support their production use-cases.
Board & Gallery Management
Invoke features an organized gallery system for easily storing, accessing, and remixing your content in the Invoke workspace. Images can be dragged/dropped onto any Image-base UI element in the application, and rich metadata within the Image allows for easy recall of key prompts or settings used in your workflow.
Other features
- Support for both ckpt and diffusers models
- SD1.5, SD2.0, SDXL, and FLUX support
- Upscaling Tools
- Embedding Manager & Support
- Model Manager & Support
- Workflow creation & management
- Node-Based Architecture
Contributing
Anyone who wishes to contribute to this project - whether documentation, features, bug fixes, code cleanup, testing, or code reviews - is very much encouraged to do so.
Get started with contributing by reading our contribution documentation, joining the #dev-chat or the GitHub discussion board.
We hope you enjoy using Invoke as much as we enjoy creating it, and we hope you will elect to become part of our community.
Thanks
Invoke is a combined effort of passionate and talented people from across the world. We thank them for their time, hard work and effort.
Original portions of the software are Copyright © 2024 by respective contributors.