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* Added new web
* Final push
* Added in-painting to main branch of open-source
* Added model conversion support for SD1.5 Inpainting
* Added inital image from canvas support
* Modified mask creation step, fixed bug in load model, updated readme
* small readme update
* small readme update
* small readme update
* small readme update
* Added controlnet-openpose
* First version of updated internal version with external & internal controlnet, external inpainting
* Optimized pipeline - moving infer_request.wait()
* updated pipeline to N=2 controlnet-pose IR
* Added Super-Res workflow in SD for acer
* Latest optimized pipeline wirh share_outputs = True etc.
* updated pipeline to use ergan and set SR resolution to landscape 2240x1400
* keeping final cache.png image
* updated to run esrgan on GPU
* Added inpainting internal version and updated device list to show NPU instead of VPUX
* updated transformer version and removed unwanted debug prints
* Update stable-diffusion-ov-server.py
* Added model caching for SR model to reduce the load time
* Added model caching for SR model to reduce the load time
* Added padding as input image is square and output landscape
* fixed a bug in SR standalone plugin
* Fixed a bug in style transfer and semseg
* fixed progress bar update in controlnet-pose, added model caching for other plugins and updated model setup
* Updates for VPUX/VPU to NPU transition
* Removed direct SR support from SD gui for release
* Added controlnet-canny internal blob support
* Updates to the path specification to be cross platform compatible
* Updating paths to be cross platform compatible
* Update to OV 2023.0.2
* Cleanup of _NEW and _org files
* Combined StableDiffusion engines into one module
* Run Inference becomes Generate, Internal becomes Advanced.
* Replaced model conversion with model download from hugging face, some change in directory structure, added canny-edge batch2, scribble batch1 and batch2
* fixed a bug in repo-id for HF download
* bug fix around shutil.copytree
* uncomment the delete HF model cache
* Fixed few more bugs
* Fixed a typo
* Removed UniPCM scheduler from local file for all batch-size 2 controlnet
* Fixed corrupt image issue with landscape and portrait models:
* Moved NPU to INT8 and added LCM
* Updated import of diffusion pipeline for diffusers 0.23.0
* Initial checkin of working LCM
* Updated to OV 2023.1.0 and diffusers 0.23.0. Added accelerate
* removed some debug statements.
* Moving install to use requirements.txt to ease linux/windows parity
Added activation/deactivation of gimpenv3 on Windows during install
* Updates for the UI to hide non-needed elements for LCM
* Removed old class, other LCM updates
* Adding LCM Scheduler and removing unneeded prints.
* Updated Latent_Consistency to SD_1.5_lcm
* Removed HF pull of scheduler for LCM. Commented out scheduler log print
for now, until i find a better way to do it.
* updated LCM model dir to be in square_lcm
* added lcm in model download
* update tensorflow version for scan issue
* update onnx version for scan issue
* update README
* Fixed tabs v spaces
* Added model_setup to Linux install script.
* Updated to be linux compatible. added functions, and put back the "all" option
* Update README.md
Fixed Linux instructions, other edits to add LCM as supported.
* Update model_setup.py to remove token
Models are now public and downloads tested with access_token = None
* Fixed device list parsing due to bug found in systmed with dGPU
* updated to match public repo
* updated to match public repo
* Initial commit
* Rebase to http://github.com/intel/openvino-ai-plugins-gimp
* removed gimpml dir, not needed.
* Fixed installer location bug.
* initial set of changes to support config files for models to determine
device list
* Adding driver detection for NPU
* more updates for powermodes
* fixed few issues, including revision
* Adding LCM under my idsid
* Updating LCM to use config.json and load blobs for NPU
* Updating setup to point to my private repo for testing.
* Removed blob and swap flags, as they are no longer needed.
* Removed blob and swap flags, as they are no longer needed.
* Updated links in README.md
* Removing current direcotry echo as not needed.
* Initial checkin of SD3 support
* Update power mode support checking. Still needs work, though...
* Fixing typo in MTL NPU arch naming
* Adding config file and code to download models from the revision
adding ubuntu distro check
* Updating model setup for LNL.
* SAI Logo adding for SD3.0
* Bug fixes for Linux.
* Added default for config.json, and better dGPU handling
* trimming down plugin requirements
* Pulling updates from opensource.
* Rolled back SAI logo addition
* Moved spinner to avoid horizontal shifts in the UI. Moved the license to over by the new logo location.
* Update model_setup.py with spectral comment
* Update model_setup.py
* Update model_setup.py
* Update model_setup.py
* Update model_setup.py
* Update model_setup_config.json
* fixed typo
* Removed repeated code.
* Update for testing configs
* Fixed issues with platform detection.
* fixing tab alignment
* Fixing case issue with SD which was root cause of neg prompt still showing up in LCM menu.
* update for merge to main.
* Updating testcases
* removing unneeded files
* Updated test case with all SD models.
* Reduced redunant redundancies.
* Aligned around image instead of init_image to be consistent with other controlnet engines
* Added more engine support
* Added FP16 support for NPU
* fixing powermode ui logic
* Added Decoder info for LCM model.
* updating result naming to make comparing the same seed images easier.
* Adding blob compilation to model setup
* remove key from model setup
* Removing chmod call for deprecated features.
* update model_setup to compile 2T for Unet INT8
* add CLI options for model weights directory location
* removed reliance on driver versions.
* removed win32com which is no longer needed.
* Create README.md
* Update README.md
* Model Loading and Compiling are multithreaded, mainly on SD1.5 INT8
* Merge WW30 Snapshot into Main (#38)
* Fixing initilization bug
* Adding better default config.json support and fixed a bug in the device_list parsing in the case there are more than one GPU in the system.
* updating dgpu device choosing logic
* Bug fixes for Linux.
* Fixed paths
* update branch info for LCM for Linux
* Fix issue with Vulkan and OV giving more than 1 GPU.
* light refactoring, and removing NPU from SuperRes device list (for now).
* created function for handling inference result
* aligned on lowercase sd_, SD UI tweaks.
* Deleting unneeded files.
* Reorganzing tree to make installation easier.
* Add workaround for caching issue in GPU for SR
* updated path due to dir structure changes.
* updated to reflect case changes.
* Updated windows install. Plugin path is no longer needed to be modified.
* Refactor install.sh
* Updated documentation to reflect Windows install changes.
* Major overhall of installation. Blobs are now created after model download.
* Updated windows install documenation
* More documenation updates
* updated UI elements
* bug fixes for SR
* syncing with v2.99-R3
* Adding support for comma separated list
* Spaces are better than commas
* Simplifying flow by not giving option to skip setup. Users can just exit right away, if needed
* Updated install flow
* switched from xcopy to robocopy
* removed unneeded lines
* removing cls for now
* whitespace changes
* remove files not needed.
* Renamed files to be consistent with pythonic module nameing convention.
* Add model setup back to install
* Fixed logo paths for inclusion
* more dash to underscore fixes
* updated complete install
* updating linux installer
* fixed missed merge conflict
* Whitespace changes.
* added back exit
* Removing tile specific config for compilation. now using default.
* Needed to be recongnized as a module
* Removing unused files
* Fixed logo paths
* updating testcase to align with new module organization.
* Updated documentation to reflect 2.99.16 and new model setup flow.
* Updated documentation to reflect 2.99.16 and new model setup flow.
* updating screenshot
* Resizing and removing figs not needed.
* Update user_guide_for_windows_users.md
* Fixing Super Resolution naming.
* Model Loading and Compiling are multithreaded, mainly on SD1.5 INT8
* Adding multithreading for model compilation and load.
* removed blank line at the start of the file.
* Removed unused function.
* fixed botched merge.
* fixed botched merge
* Bug fixes
* Removing redundant print
* minor update
* Fixed FP16 powermode issue
---------
Co-authored-by: arisha07 <[email protected]>
Co-authored-by: Siwoo Park <[email protected]>
* Npu turbo feature (#40)
* Fixing initilization bug
* Adding better default config.json support and fixed a bug in the device_list parsing in the case there are more than one GPU in the system.
* updating dgpu device choosing logic
* Bug fixes for Linux.
* Fixed paths
* update branch info for LCM for Linux
* Fix issue with Vulkan and OV giving more than 1 GPU.
* light refactoring, and removing NPU from SuperRes device list (for now).
* created function for handling inference result
* aligned on lowercase sd_, SD UI tweaks.
* Deleting unneeded files.
* Reorganzing tree to make installation easier.
* Add workaround for caching issue in GPU for SR
* updated path due to dir structure changes.
* updated to reflect case changes.
* Updated windows install. Plugin path is no longer needed to be modified.
* Refactor install.sh
* Updated documentation to reflect Windows install changes.
* Major overhall of installation. Blobs are now created after model download.
* Updated windows install documenation
* More documenation updates
* updated UI elements
* bug fixes for SR
* syncing with v2.99-R3
* Adding support for comma separated list
* Spaces are better than commas
* Simplifying flow by not giving option to skip setup. Users can just exit right away, if needed
* Updated install flow
* switched from xcopy to robocopy
* removed unneeded lines
* removing cls for now
* whitespace changes
* remove files not needed.
* Renamed files to be consistent with pythonic module nameing convention.
* Add model setup back to install
* Fixed logo paths for inclusion
* more dash to underscore fixes
* updated complete install
* updating linux installer
* fixed missed merge conflict
* Whitespace changes.
* added back exit
* Removing tile specific config for compilation. now using default.
* Needed to be recongnized as a module
* Removing unused files
* Fixed logo paths
* updating testcase to align with new module organization.
* Updated documentation to reflect 2.99.16 and new model setup flow.
* Updated documentation to reflect 2.99.16 and new model setup flow.
* updating screenshot
* Resizing and removing figs not needed.
* Update user_guide_for_windows_users.md
* Fixing Super Resolution naming.
* Model Loading and Compiling are multithreaded, mainly on SD1.5 INT8
* Adding multithreading for model compilation and load.
* removed blank line at the start of the file.
* Removed unused function.
* fixed botched merge.
* fixed botched merge
* Bug fixes
* Removing redundant print
* minor update
* Fixed FP16 powermode issue
* Fixing issue with pytorch 2.4.0
* Added exit after opton 12. fixed ref-only download.
* Adding turbo mode.
* relocated art.
* Adding wmi for driver version detection on Windows
* Added platform info logging for easier tracking
* Add back initial SD3.0 support.
* Updated Turbo mode and removed Artwork which could cause issues on some systems.
* Moving OV version to 2024.3.0
* Gating NPU turbo DEVICE_ARCHITECTURE.
* Test case tweaks to add timestamps to images generated.
* removing pip upgrade. may cause SSL errors.
---------
Co-authored-by: arisha07 <[email protected]>
Co-authored-by: Siwoo Park <[email protected]>
* Fixing default steps and min guidance.
* Fix sys.path extend calls to for openvino_utils/tools folder
* WIP versions of the model management server / GUI
* model_manager UI: Get model details from server
* model manager ui: add install poll threads, and hook up progress bar
* model manager: Add remaining model dl routines
* model manager: Implement install queueing
* model manager ui: Start progress bar thread if install is in progress on new dialog
* model manager ui: install cancellation
* Merge v2.99-R3 into MAIN (#48)
* Fixing initilization bug
* Adding better default config.json support and fixed a bug in the device_list parsing in the case there are more than one GPU in the system.
* updating dgpu device choosing logic
* Bug fixes for Linux.
* Fixed paths
* update branch info for LCM for Linux
* Fix issue with Vulkan and OV giving more than 1 GPU.
* light refactoring, and removing NPU from SuperRes device list (for now).
* created function for handling inference result
* aligned on lowercase sd_, SD UI tweaks.
* Deleting unneeded files.
* Reorganzing tree to make installation easier.
* Add workaround for caching issue in GPU for SR
* updated path due to dir structure changes.
* updated to reflect case changes.
* Updated windows install. Plugin path is no longer needed to be modified.
* Refactor install.sh
* Updated documentation to reflect Windows install changes.
* Major overhall of installation. Blobs are now created after model download.
* Updated windows install documenation
* More documenation updates
* updated UI elements
* bug fixes for SR
* syncing with v2.99-R3
* Adding support for comma separated list
* Spaces are better than commas
* Simplifying flow by not giving option to skip setup. Users can just exit right away, if needed
* Updated install flow
* switched from xcopy to robocopy
* removed unneeded lines
* removing cls for now
* whitespace changes
* remove files not needed.
* Renamed files to be consistent with pythonic module nameing convention.
* Add model setup back to install
* Fixed logo paths for inclusion
* more dash to underscore fixes
* updated complete install
* updating linux installer
* fixed missed merge conflict
* Whitespace changes.
* added back exit
* Removing tile specific config for compilation. now using default.
* Needed to be recongnized as a module
* Removing unused files
* Fixed logo paths
* updating testcase to align with new module organization.
* Updated documentation to reflect 2.99.16 and new model setup flow.
* Updated documentation to reflect 2.99.16 and new model setup flow.
* updating screenshot
* Resizing and removing figs not needed.
* Update user_guide_for_windows_users.md
* Enabling multiple models for download.
* Fixing Super Resolution naming.
* Model Loading and Compiling are multithreaded, mainly on SD1.5 INT8
* Adding multithreading for model compilation and load.
* removed blank line at the start of the file.
* Removed unused function.
* fixed botched merge.
* fixed botched merge
* Bug fixes
* Removing redundant print
* minor update
* Fixed FP16 powermode issue
* V2.99 r3 staging (#126)
* Adding multithreading for compile and load
* tweaks for perf
* adding back in exit
* Fixing naming
* Syncing with internal snapshot
* Syncing with internal snapshot
* Correcting capitalization
* Doc update
* Update user_guide_for_windows_users.md
* Fixed model download bug.
* Fix issue with torch 2.4.0
* Auto exit if a user chooses option 12.
* Fixing issue with pytorch 2.4.0
* Remove debug statements
* Added exit after opton 12. fixed ref-only download.
* fixing NPU turbo to not fail if not enabled in the plugin
* Adding flash SD3 and hardcoding dev version of OV (for now).
* Updating sd3 implementation from Alpha to sd3-medium
* Stable Diffusion 3 Medium support
* Removing SD2.1 and adding DPU groups config for NPU model compile.
* updating default prompt
* Correcting SD3 paths
* V2.99 r3 staging update (#131)
* Initial commit
* Initial commit of gimp-ml with semantic seg powered by OV
* Added OV based deblur plugin
* Added super-resolution OV based plugin supports esrgan & sr_1033
* Initial version for OV Inpainting
* Replaced checkboxes with drop down list & added edsr model support to superres
* Added ov style transfer filter
* Super-res changes
* Adding weights folder
* Added initial version of stable diffusion
* automated stable difussion model paths
* Initial commit of gimp-ov
* Removed unwanted files
* Removed unwanted files
* Fixed semseg and removed unwanted code
* Removed unwanted dependencies
* Added screenshot and removed unwanted files
* Updated Readme
* Updated Readme
* Updated Readme
* Updated Readme
* Updated Readme
* Updated Readme
* Updated Readme
* Delete LICENSE
* Added thirdparty license and copyrights notices
* Create LICENSE.md
* Updated Readme
* Delete testscases/.ipynb_checkpoints directory
* Updated Readme
* Added missing gdown during install
* Added missing gdown during install
* Changed license to Apache
* Removed VPU device from mainline and deleted deblur plugin
* Removed unused function and files after checkmarx scan
* Commented out the exc_info to fix the Information_Exporsure issue in checkmarx
* Replaced gimpov from the entire code base
* Updated the GUI screen shot for readme
* Renamed gimpov folder
* Replaced GIMP-OV to GIMP-OpenVINO & gimpopenvino
* Removed md5 and html related blacklisted items for bandit
* Removed use of pickle from the plugin infrastructure
* Replace readlines from text with json format for semantic seg
* Replaced readlines method with json
* Updated OpenVino to 2022.3.0
* Updated transformer version
* Added copyright header to all source files
* staging for final upstream part1
* final staging part2
* Modify readme
* modify readme
* Added more gifs
* replaced the links
* updated readme
* updated readme
* updated readme
* updated sem-seg gif
* updated readme
* updated readme
* updated readme
* updated readme
* Added new web
* Final push
* Added in-painting to main branch of open-source
* Added model conversion support for SD1.5 Inpainting
* Added inital image from canvas support
* Modified mask creation step, fixed bug in load model, updated readme
* small readme update
* small readme update
* small readme update
* small readme update
* Added controlnet-openpose
* First version of updated internal version with external & internal controlnet, external inpainting
* Optimized pipeline - moving infer_request.wait()
* updated pipeline to N=2 controlnet-pose IR
* Added Super-Res workflow in SD for acer
* Latest optimized pipeline wirh share_outputs = True etc.
* updated pipeline to use ergan and set SR resolution to landscape 2240x1400
* keeping final cache.png image
* updated to run esrgan on GPU
* Added inpainting internal version and updated device list to show NPU instead of VPUX
* updated transformer version and removed unwanted debug prints
* Update stable-diffusion-ov-server.py
* Added model caching for SR model to reduce the load time
* Added model caching for SR model to reduce the load time
* Added padding as input image is square and output landscape
* fixed a bug in SR standalone plugin
* Fixed a bug in style transfer and semseg
* fixed progress bar update in controlnet-pose, added model caching for other plugins and updated model setup
* Updates for VPUX/VPU to NPU transition
* Removed direct SR support from SD gui for release
* Added controlnet-canny internal blob support
* Updates to the path specification to be cross platform compatible
* Updating paths to be cross platform compatible
* Update to OV 2023.0.2
* Cleanup of _NEW and _org files
* Combined StableDiffusion engines into one module
* Run Inference becomes Generate, Internal becomes Advanced.
* Replaced model conversion with model download from hugging face, some change in directory structure, added canny-edge batch2, scribble batch1 and batch2
* fixed a bug in repo-id for HF download
* bug fix around shutil.copytree
* uncomment the delete HF model cache
* Fixed few more bugs
* Fixed a typo
* Removed UniPCM scheduler from local file for all batch-size 2 controlnet
* Fixed corrupt image issue with landscape and portrait models:
* Moved NPU to INT8 and added LCM
* Updated import of diffusion pipeline for diffusers 0.23.0
* Initial checkin of working LCM
* Updated to OV 2023.1.0 and diffusers 0.23.0. Added accelerate
* removed some debug statements.
* Moving install to use requirements.txt to ease linux/windows parity
Added activation/deactivation of gimpenv3 on Windows during install
* Updates for the UI to hide non-needed elements for LCM
* Removed old class, other LCM updates
* Adding LCM Scheduler and removing unneeded prints.
* Updated Latent_Consistency to SD_1.5_lcm
* Removed HF pull of scheduler for LCM. Commented out scheduler log print
for now, until i find a better way to do it.
* updated LCM model dir to be in square_lcm
* added lcm in model download
* update tensorflow version for scan issue
* update onnx version for scan issue
* update README
* Fixed tabs v spaces
* Added model_setup to Linux install script.
* Updated to be linux compatible. added functions, and put back the "all" option
* Update README.md
Fixed Linux instructions, other edits to add LCM as supported.
* Update model_setup.py to remove token
Models are now public and downloads tested with access_token = None
* Fixed device list parsing due to bug found in systmed with dGPU
* updated to match public repo
* updated to match public repo
* Initial commit
* Rebase to http://github.com/intel/openvino-ai-plugins-gimp
* removed gimpml dir, not needed.
* Fixed installer location bug.
* initial set of changes to support config files for models to determine
device list
* Adding driver detection for NPU
* more updates for powermodes
* fixed few issues, including revision
* Adding LCM under my idsid
* Updating LCM to use config.json and load blobs for NPU
* Updating setup to point to my private repo for testing.
* Removed blob and swap flags, as they are no longer needed.
* Removed blob and swap flags, as they are no longer needed.
* Updated links in README.md
* Removing current direcotry echo as not needed.
* Initial checkin of SD3 support
* Update power mode support checking. Still needs work, though...
* Fixing typo in MTL NPU arch naming
* Adding config file and code to download models from the revision
adding ubuntu distro check
* Updating model setup for LNL.
* SAI Logo adding for SD3.0
* Bug fixes for Linux.
* Added default for config.json, and better dGPU handling
* trimming down plugin requirements
* Pulling updates from opensource.
* Rolled back SAI logo addition
* Moved spinner to avoid horizontal shifts in the UI. Moved the license to over by the new logo location.
* Update model_setup.py with spectral comment
* Update model_setup.py
* Update model_setup.py
* Update model_setup.py
* Update model_setup.py
* Update model_setup_config.json
* fixed typo
* Removed repeated code.
* Update for testing configs
* Fixed issues with platform detection.
* fixing tab alignment
* Fixing case issue with SD which was root cause of neg prompt still showing up in LCM menu.
* update for merge to main.
* Updating testcases
* removing unneeded files
* Updated test case with all SD models.
* Reduced redunant redundancies.
* Aligned around image instead of init_image to be consistent with other controlnet engines
* Added more engine support
* Added FP16 support for NPU
* fixing powermode ui logic
* Added Decoder info for LCM model.
* updating result naming to make comparing the same seed images easier.
* Adding blob compilation to model setup
* remove key from model setup
* Removing chmod call for deprecated features.
* update model_setup to compile 2T for Unet INT8
* add CLI options for model weights directory location
* removed reliance on driver versions.
* removed win32com which is no longer needed.
* Create README.md
* Update README.md
* Model Loading and Compiling are multithreaded, mainly on SD1.5 INT8
* Adding multithreading for compile and load
* tweaks for perf
* adding back in exit
* Fixing naming
* Syncing with internal snapshot
* Syncing with internal snapshot
* Merge WW30 Snapshot into Main (#38)
* Fixing initilization bug
* Adding better default config.json support and fixed a bug in the device_list parsing in the case there are more than one GPU in the system.
* updating dgpu device choosing logic
* Bug fixes for Linux.
* Fixed paths
* update branch info for LCM for Linux
* Fix issue with Vulkan and OV giving more than 1 GPU.
* light refactoring, and removing NPU from SuperRes device list (for now).
* created function for handling inference result
* aligned on lowercase sd_, SD UI tweaks.
* Deleting unneeded files.
* Reorganzing tree to make installation easier.
* Add workaround for caching issue in GPU for SR
* updated path due to dir structure changes.
* updated to reflect case changes.
* Updated windows install. Plugin path is no longer needed to be modified.
* Refactor install.sh
* Updated documentation to reflect Windows install changes.
* Major overhall of installation. Blobs are now created after model download.
* Updated windows install documenation
* More documenation updates
* updated UI elements
* bug fixes for SR
* syncing with v2.99-R3
* Adding support for comma separated list
* Spaces are better than commas
* Simplifying flow by not giving option to skip setup. Users can just exit right away, if needed
* Updated install flow
* switched from xcopy to robocopy
* removed unneeded lines
* removing cls for now
* whitespace changes
* remove files not needed.
* Renamed files to be consistent with pythonic module nameing convention.
* Add model setup back to install
* Fixed logo paths for inclusion
* more dash to underscore fixes
* updated complete install
* updating linux installer
* fixed missed merge conflict
* Whitespace changes.
* added back exit
* Removing tile specific config for compilation. now using default.
* Needed to be recongnized as a module
* Removing unused files
* Fixed logo paths
* updating testcase to align with new module organization.
* Updated documentation to reflect 2.99.16 and new model setup flow.
* Updated documentation to reflect 2.99.16 and new model setup flow.
* updating screenshot
* Resizing and removing figs not needed.
* Update user_guide_for_windows_users.md
* Fixing Super Resolution naming.
* Model Loading and Compiling are multithreaded, mainly on SD1.5 INT8
* Adding multithreading for model compilation and load.
* removed blank line at the start of the file.
* Removed unused function.
* fixed botched merge.
* fixed botched merge
* Bug fixes
* Removing redundant print
* minor update
* Fixed FP16 powermode issue
---------
Co-authored-by: arisha07 <[email protected]>
Co-authored-by: Siwoo Park <[email protected]>
* Correcting capitalization
* Npu turbo feature (#40)
* Fixing initilization bug
* Adding better default config.json support and fixed a bug in the device_list parsing in the case there are more than one GPU in the system.
* updating dgpu device choosing logic
* Bug fixes for Linux.
* Fixed paths
* update branch info for LCM for Linux
* Fix issue with Vulkan and OV giving more than 1 GPU.
* light refactoring, and removing NPU from SuperRes device list (for now).
* created function for handling inference result
* aligned on lowercase sd_, SD UI tweaks.
* Deleting unneeded files.
* Reorganzing tree to make installation easier.
* Add workaround for caching issue in GPU for SR
* updated path due to dir structure changes.
* updated to reflect case changes.
* Updated windows install. Plugin path is no longer needed to be modified.
* Refactor install.sh
* Updated documentation to reflect Windows install changes.
* Major overhall of installation. Blobs are now created after model download.
* Updated windows install documenation
* More documenation updates
* updated UI elements
* bug fixes for SR
* syncing with v2.99-R3
* Adding support for comma separated list
* Spaces are better than commas
* Simplifying flow by not giving option to skip setup. Users can just exit right away, if needed
* Updated install flow
* switched from xcopy to robocopy
* removed unneeded lines
* removing cls for now
* whitespace changes
* remove files not needed.
* Renamed files to be consistent with pythonic module nameing convention.
* Add model setup back to install
* Fixed logo paths for inclusion
* more dash to underscore fixes
* updated complete install
* updating linux installer
* fixed missed merge conflict
* Whitespace changes.
* added back exit
* Removing tile specific config for compilation. now using default.
* Needed to be recongnized as a module
* Removing unused files
* Fixed logo paths
* updating testcase to align with new module organization.
* Updated documentation to reflect 2.99.16 and new model setup flow.
* Updated documentation to reflect 2.99.16 and new model setup flow.
* updating screenshot
* Resizing and removing figs not needed.
* Update user_guide_for_windows_users.md
* Fixing Super Resolution naming.
* Model Loading and Compiling are multithreaded, mainly on SD1.5 INT8
* Adding multithreading for model compilation and load.
* removed blank line at the start of the file.
* Removed unused function.
* fixed botched merge.
* fixed botched merge
* Bug fixes
* Removing redundant print
* minor update
* Fixed FP16 powermode issue
* Fixing issue with pytorch 2.4.0
* Added exit after opton 12. fixed ref-only download.
* Adding turbo mode.
* relocated art.
* Adding wmi for driver version detection on Windows
* Added platform info logging for easier tracking
* Add back initial SD3.0 support.
* Updated Turbo mode and removed Artwork which could cause issues on some systems.
* Moving OV version to 2024.3.0
* Gating NPU turbo DEVICE_ARCHITECTURE.
* Test case tweaks to add timestamps to images generated.
* removing pip upgrade. may cause SSL errors.
---------
Co-authored-by: arisha07 <[email protected]>
Co-authored-by: Siwoo Park <[email protected]>
* Fixing default steps and min guidance.
* fixing NPU turbo to not fail if not enabled in the plugin
* Adding flash SD3 and hardcoding dev version of OV (for now).
* Fix sys.path extend calls to for openvino_utils/tools folder
* Updating sd3 implementation from Alpha to sd3-medium
* update default prompt
* Set openvino release
* Removing unused files.
* freezing requirements.txt
---------
Co-authored-by: Arisha Kumar <[email protected]>
Co-authored-by: RyanMetcalfeInt8 <[email protected]>
Co-authored-by: Luke Lin <[email protected]>
Co-authored-by: ymangukiya <[email protected]>
Co-authored-by: nschaper-intel <[email protected]>
Co-authored-by: Siwoo Park <[email protected]>
Co-authored-by: Metcalfe, Ryan <[email protected]>
* config causing issues on some machines.
* Need the nightly build for NPU Turbo
* Freezing requirements.
* updating testcases with new default prompt and random seeds beyond the first image.
* Adding NPU Arch detection
* removed unused function
* Add tile configuration to model setup
* Add tile configuration to model setup
* updating testcases with new default prompt and random seeds beyond the first image.
* Adjusting model to IP mapping
* Added guidance scale param
* Removed unnecessary print.
* Fixing git clone command.
* updating threshold
* updating tools path
* remove unneeded print.
* Syncing with v2.99-R3-staging
* fixed model configs for FP16 and INT8
* fixed model configs for FP16 and INT8
* typo and bug fix in controlnet models
* Once again, re-assigning profile mappings.
* fixed seed issue
* Fix threashold value.
* Adapted stable_diffusion_engine.py and stable_diffusion_engine_tc.py for basic Linux (Ubuntu 22) support
* Fixing torch to exactly 2.3.1
* Adjust init image checkbox to not display for LCM.
* Update model configs.
* freezing torchvision version.
---------
Co-authored-by: arisha07 <[email protected]>
Co-authored-by: Siwoo Park <[email protected]>
Co-authored-by: RyanMetcalfeInt8 <[email protected]>
Co-authored-by: Luke Lin <[email protected]>
Co-authored-by: ymangukiya <[email protected]>
Co-authored-by: nschaper-intel <[email protected]>
Co-authored-by: Metcalfe, Ryan <[email protected]>
Co-authored-by: Rafael Lago <[email protected]>
* model manager ui: Trigger update of SD model selection combo upon completion of an install
* model management server: Refactor supported model / installable model map, along with download routines
* model management server: Implement file download exclude patterns
* stable diffusion: Populate the model select drop-down with model_list retrieved from model manager
* model manager: tweak model names
* stable diffusion: Display 'full' model name in model selection drop-down
* stable diffusion engine: swap deprecated download_tokenizer call to from_pretrained/save_pretrained sequence
* model management server: update SD3.0 entries
* Adding support for W8A16 model.
* removing model which doesn't exist
* model manager server: Update model install routine based on latest changes to model_setup.py
* model management ui: move ModelManagementWindow to dedicated .py
* model management server: Change name of OpenVINOModelInstaller class to 'ModelManager'
* model manager: Move ModelManager class to a dedicated .py
* model manager: Trigger error window pop-up when model installation fails
* model manager: Remove test entries from UI
* model manager: Remove Portrait / Landscape options from UI installable list
* model manager: Write installation info (hf repo id, commit-id) into installation folder at end of install procedure
* model manager: For sd_1.5_square_int8a16, confirm IR bin exists before presenting it as a usable option
* model manager: Remove unneceaary print statements, fix error dialog upon cancellation
* model_setup.py: Use an instance of ModelManager to populate user selection list, as well as perform install routines
* Update to install.bat to remove model setup
* moving model install button to the left.
* SD selectable even without a layer present
* model manager: record NPU driver version used to compile blobs into install_info.json
* model manager: Require install_info.json to be present for a model to be deemed as 'installed'
* model manager: 'Update' operation available for installed models that could require recompilation
* model manager: Fix undeclared full_install_path
* Updating install scripts and adding powershell.
* stable diffusion engine: Fix issue in int8a16 if all devices are 'GPU'
* GIMP-side stable diffusion plugin: Don't allow use of controlnet if n_layers==0
* Backing out error checking due to pip return codes.
* Removing unneeded print.
* Fixed issue with dir existance. Fixed bug in python3 pointer.
* Adding missing imports.
* Removing unnecessary print
* model manager: Explicitly tag install routines that have NPU compilation routines
* fixed alignment bug in model_setup
* Fine tuning print messages
* Fixed Precision reported for LCM
* Fixed logic around power modes to ensure button sensitivity is correct.
* Removed commented out lines which were experiments.
* Move install_base_models routine from model_setup.py to complete_install.py
* Completing merge.
* model manager: Fix issue where an install entry doesn't show up in UI if it's currently installing
* Updated the readme and windows doc
* Fixed format in user guide
* Fixed format in user guide
* Remove int8 variants of inpainting, controlnet models
* need to treat the path as a raw string to avoid unicode errors
* updated user guide for win
* Adding Stable Diffusion 3 guilde
* Fixed typo and added detail about install_info.json
* fixed a typo in the install_info.json
* Added command line model setup instructions in standalone readme:
* Fixed format in standalone readme
* Fixed format in standalone readme
* Fixed format in standalone readme
* Fixed format in standalone readme
* Fixed format in standalone readme
* Fixed format in standalone readme
* updated figure in standalone readme
* Updating to support SD1.5 FP16 on Ultra Series 1 systems.
* model manager: Handle potential race condition in server startup / connection
* stable diffusion server: Add a retry mechanism for socket binding
* stable diffusion server: Perform explicit close of the socket upon exit
---------
Co-authored-by: Kumar <[email protected]>
Co-authored-by: RyanMetcalfeInt8 <[email protected]>
Co-authored-by: Luke Lin <[email protected]>
Co-authored-by: ymangukiya <[email protected]>
Co-authored-by: nschaper-intel <[email protected]>
Co-authored-by: Siwoo Park <[email protected]>
Co-authored-by: Metcalfe, Ryan <[email protected]>
Co-authored-by: Rafael Lago <[email protected]>
Stable Diffusion V3 is next generation of latent diffusion image Stable Diffusion models family that outperforms state-of-the-art text-to-image generation systems in typography and prompt adherence, based on human preference evaluations.
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In comparison with previous versions, it based on Multimodal Diffusion Transformer (MMDiT) text-to-image model that features greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency.
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More details about model can be found in [model card](https://huggingface.co/stabilityai/stable-diffusion-3-medium), [research paper](https://stability.ai/news/stable-diffusion-3-research-paper) and [Stability.AI blog post](https://stability.ai/news/stable-diffusion-3-medium).
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## Enabling SD3 in GIMP
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### Converting the Models
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The supported version of SD3 in GIMP is the flash_sd3 LoRA. In order to use with GIMP, you first need to download and convert the model into OpenVINO format. This can be done by following the instructions in the [OpenVINO Stable Diffusion v3 Notebook](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/stable-diffusion-v3).
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>**Note**: Ensure you use the instructions for flash_sd3.
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### Model Installation
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After completing the steps in the notebook, you will have the models located in `openvino_notebooks\notebooks\stable-diffusion-v3\stable-diffusion-3`. Copy these models to `openvino-ai-plugins-gimp\weights\stable-diffusion-ov\stable-diffusion-3.0`
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For example, using robocopy to copy the files on the command line:
After copying, create a file called `install_info.json` inside the stable-diffusion-3.0 directory. This will ensure that the GIMP plugin will recognize this as a valid model. It should contain the following text:
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```
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{
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"hf_repo_id": "none",
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"hf_commit_id": "none"
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}
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```
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Verify that the copied files and directory structure looks as follows:
After completing model installation steps, SD3 will now be available in the Stable Diffusion UI. Note that SD3 can generate valid images in as few as 4 iterations. Also, the guidance scale needed is normally much lower. See the screenshot below:
> This is an example that will create a `GIMP` folder in`C:\Users\Public\`, and then download the package to `C:\Users\Public\GIMP`, you still can define where to place this package by yourself.
This step will take timefor downloading necessary packages.
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- After creating python environment, gimpenv3, and downloaded necessary packages, you will be prompted to download models
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- Enter __\<number\>__ for downloading models you want to run. You can specify multiple models separated by spaces:
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- Download "__1__", SD-1.5 Square (512x512) as an instance. Once installation process is completed when you see the messages below.
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>**Notes:**
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> - The downloaded models include FP16 and INT8 precision, and INT8 precision can be executed on MTL NPU.
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> - Weights is saved at `C:\Users\<user_name>\openvino-ai-plugins-gimp\weights`.
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- After creating python environment, gimpenv3, and downloaded necessary packages, you can now start GIMP application from Start Menu.
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# Execute Stable-Diffusion in GIMP
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@@ -143,18 +130,36 @@ With previous section, the GIMP AI plugins with OpenVINO™ Backend is installed
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You can now simply open Gimp from the start menu as you would any normal Windows application.
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## Execute Stable-Diffusion – SD1.5_square_int8
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## Download & Install Stable Diffusion Models
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- Once GIMP application is started, Click "__Layer__"\>"__OpenVINO-AI-Plugins__"\>"__Stable diffusion__".
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- Once Stable Diffusion Plugin UI opens up, click on Model Button on the top left corner as show in the below picture:
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Please follow below steps to execute Stable-Diffusion - SD1.5_square_int8. For other features, please refer to [OpenVINO™ Image Generator Plugin with Stable Diffusion](https://github.com/intel/openvino-ai-plugins-gimp/tree/main?tab=readme-ov-file#openvino-image-generator-plugin-with-stable-diffusion) section.
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- This now opens the Stable Diffusion Model Management window from where you can install the required models by clicking on "Install" button next to the model name.
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- Following previous section to launch GIMP
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- Download Stable Diffusion 1.5 Square as an instance.
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- Click "__File__"\>"__New__"\>"__OK__" to new a layer in GIMP
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- Once installation process is completed, you will see the "Install" button is updated to "Installed" and you will find the models in the drop-down list
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>**Notes:**
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> - The downloaded models include FP16 and INT8 precision
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> - Weights is saved at `C:\Users\<user_name>\openvino-ai-plugins-gimp\weights`.
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