* chore: updates the notebook according to the latest template
* chore: linter test
* refactor: removes IS_TESTING, and os import
* ran linter test using linter.sh
---------
Co-authored-by: rohith-egen <rohith.alla@egen.ai>
Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
* Update ray_cluster_management.ipynb
Updated logo for Colab Enterprise
* fix: change accelerator type
* fix: alter accelerator type
---------
Co-authored-by: Katie Nguyen <21978337+katiemn@users.noreply.github.com>
* fix: n1-standard-8 changed to n1-standard-16 and Tesla K80 changed to Tesla T4 + refactored code according to the template
* refactor: keeping the machine types same. Original issue with the K80 accelerators as they're no longer supported
---------
Co-authored-by: rohith-egen <rohith.alla@egen.ai>
Co-authored-by: krishr2d2 <krishna.movva@egen.ai>
* Update tensorboard_custom_training_with_custom_container.ipynb
added colab enterprise link and logo
* Update comparing_local_trained_models.ipynb
Added colab enterprise logo and link. Also made some edits.
* Update delete_outdated_tensorboard_experiments.ipynb
Updated Colab Enterprise logo
* Update get_started_with_model_registry.ipynb
add colabe enterprise link
* fix: remove extra line break elements
---------
Co-authored-by: Katie Nguyen <21978337+katiemn@users.noreply.github.com>
* Upgrade to v1 API in feature store llm grounding tutorial.
* Sleep for 5min before starting serving to wait for DNS to be ready.
* use data_key in fetch request
* Add controlnet-canny to the Gradio playground, and some additional UX enhancement.
* Minor fixes.
* Minor fixes
* Add additional document regarding the list of supported models, and some UI enhancement.
* Minor update to the hyperlink.
* Rewrite the SD2.1 dreambooth finetune notebook.
* Add code owners.
* Some minor changes to the stable diffusion 2.1 and sd-xl notebooks.
* some additional minor fixes.
* additional fixes.
* Create a notebook to demonstrate dreambooth LoRA finetune for SD-XL model.
* minor updates
* add to the codeowner list.
* merge conflict.
* minor fix to the Gradio UI workshop notebook.
* Some minor updates to the SD2.1 deployment notebook.
* Minor update the `sd-xl` deployment notebook, based on the QA feedback.
* Add a few community models to the Gradio workshop.
* Switch `mediapipe-train` docker container from `vertex-ai-restricted` to `vertex-ai`, in the `mediapipe-train` notebooks.
* Create a notebook for model `instantx/instantid`.
* Update Gradio notebook to use the latest Gradio version and fix some bugs.
1. Update Gradio version to 4.29.0, as it complains 3.50.0 is too old.
2. Uninstall nest-asyncio and uvloop as a workaround to b/339301920 and https://github.com/gradio-app/gradio/issues/8238#issuecomment-2101066984.
* Resolve merge conflict.
* minor updates.
* minor updates.
* Merge some SD notebook in g3 and github.
* Remove the unused variable in the controlnet notebook.
* minor updates.
* include the SD1.5 dreambooth notebook.
* Include the sd1.5 dreambooth notebook.
* Improve the stable diffusion dreambooth tuning CUJ in the Gradio notebook.
* minor update.
* Create a Gradio notebook for the new InstantId model.
* Add dreambooth finetune to the stable diffusion Gradio workshop notebook.
* Update the image generation Gradio notebook to support Dreambooth finetuning.
* linter update
* linter update
* minor fix to the instant-id notebook.
* Minor fix to the stable diffusion gradio notebook.
* Split the 'instant-id' deployment notebook prediction into two sections.
* add `deployment_source` to the notebook.
* Switch to `pytorch-diffusers-serve-opt` container to for diffusion lora serving.
* add the dreambooth_lora notebook.
* minor update.
* Parameterize the "show_debug_logs" to facilitate automatic test of the Gradio notebooks.
* Lint format.
* minor updates
* Delete the two deprecated SD1.5 and 2.1 notebooks, as they were no longer referenced on any model cards.
* Sync Colab notebooks between g3 and github.
* format changes
* format update.
* Update get_started_with_pytorch_rov.ipynb
This is a test
* updated URL to point to tensorboard-introduction (and not "overview")
* change URL to /tensorboard-introduction
* Add controlnet-canny to the Gradio playground, and some additional UX enhancement.
* Minor fixes.
* Minor fixes
* Add additional document regarding the list of supported models, and some UI enhancement.
* Minor update to the hyperlink.
* Rewrite the SD2.1 dreambooth finetune notebook.
* Add code owners.
* Some minor changes to the stable diffusion 2.1 and sd-xl notebooks.
* some additional minor fixes.
* additional fixes.
* Create a notebook to demonstrate dreambooth LoRA finetune for SD-XL model.
* minor updates
* add to the codeowner list.
* merge conflict.
* minor fix to the Gradio UI workshop notebook.
* Some minor updates to the SD2.1 deployment notebook.
* Minor update the `sd-xl` deployment notebook, based on the QA feedback.
* Add a few community models to the Gradio workshop.
* Switch `mediapipe-train` docker container from `vertex-ai-restricted` to `vertex-ai`, in the `mediapipe-train` notebooks.
* Create a notebook for model `instantx/instantid`.
* Update Gradio notebook to use the latest Gradio version and fix some bugs.
1. Update Gradio version to 4.29.0, as it complains 3.50.0 is too old.
2. Uninstall nest-asyncio and uvloop as a workaround to b/339301920 and https://github.com/gradio-app/gradio/issues/8238#issuecomment-2101066984.
* Resolve merge conflict.
* minor updates.
* minor updates.
* Merge some SD notebook in g3 and github.
* Remove the unused variable in the controlnet notebook.
* minor updates.
* include the SD1.5 dreambooth notebook.
* Include the sd1.5 dreambooth notebook.
* Create a Gradio notebook for the new InstantId model.
* Add dreambooth finetune to the stable diffusion Gradio workshop notebook.
* Update the image generation Gradio notebook to support Dreambooth finetuning.
* linter update
* linter update
* minor fix to the instant-id notebook.
* Minor fix to the stable diffusion gradio notebook.
* Split the 'instant-id' deployment notebook prediction into two sections.
* add `deployment_source` to the notebook.
* Switch to `pytorch-diffusers-serve-opt` container to for diffusion lora serving.
* add the dreambooth_lora notebook.
* minor update.
* Parameterize the "show_debug_logs" to facilitate automatic test of the Gradio notebooks.
* Lint format.
* minor updates
* Delete the two deprecated SD1.5 and 2.1 notebooks, as they were no longer referenced on any model cards.
Fx colab parameter usage - the linting/auto-format placed some variables
across multiple lines which doesn't work in colab. Make the FOS ID names
shorter to avoid this issue.
Also fix some usage for getting FOS - this can be done directly using
SDK constructor.
Set PSC allow list project to current project.
Increase sleep for DNS propagation to pass CI.
* Create a Gradio notebook for the new InstantId model.
* Add dreambooth finetune to the stable diffusion Gradio workshop notebook.
* Update the image generation Gradio notebook to support Dreambooth finetuning.
* linter update
* linter update
* minor fix to the instant-id notebook.
* Minor fix to the stable diffusion gradio notebook.
* Split the 'instant-id' deployment notebook prediction into two sections.
* add `deployment_source` to the notebook.
* Switch to `pytorch-diffusers-serve-opt` container to for diffusion lora serving.
* add the dreambooth_lora notebook.
* minor update.
* Parameterize the "show_debug_logs" to facilitate automatic test of the Gradio notebooks.
* Lint format.
* minor updates
* feat: Add notebook for E5 text embedding models
* feat: Add notebook for E5 text embedding models
* fix: Broken 'processor' param due to linter
* fix: Update the dev TEI docker images to the public ones
* Create a Gradio notebook for the new InstantId model.
* Add dreambooth finetune to the stable diffusion Gradio workshop notebook.
* Update the image generation Gradio notebook to support Dreambooth finetuning.
* linter update
* linter update
* minor fix to the instant-id notebook.
* Minor fix to the stable diffusion gradio notebook.
* Split the 'instant-id' deployment notebook prediction into two sections.
* add `deployment_source` to the notebook.
* Switch to `pytorch-diffusers-serve-opt` container to for diffusion lora serving.
* add the dreambooth_lora notebook.
* minor update.
