import gradio import gradio as gr from aws_extension import sagemaker_ui from dreambooth_on_cloud.train import async_cloud_train from modules.ui_components import ToolButton training_job_dashboard = None txt2img_show_hook = None img2img_prompt = None init_img = None sketch = None init_img_with_mask = None inpaint_color_sketch = None init_img_inpaint = None init_mask_inpaint = None img2img_gallery = None img2img_show_hook = None img2img_generation_info = None txt2img_generation_info = None txt2img_gallery = None img2img_html_info = None db_model_name = None db_use_txt2img = None db_sagemaker_train = None db_save_config = None cloud_db_model_name = None cloud_train_instance_type = None txt2img_html_info = None txt2img_prompt = None def on_after_component_callback(component, **_kwargs): global db_model_name, db_use_txt2img, db_sagemaker_train, db_save_config, cloud_db_model_name, \ cloud_train_instance_type, training_job_dashboard is_dreambooth_train = type(component) is gr.Button and getattr(component, 'elem_id', None) == 'db_train' is_dreambooth_model_name = type(component) is gr.Dropdown and \ (getattr(component, 'elem_id', None) == 'model_name' or (getattr(component, 'label', None) == 'Model' and getattr( component.parent.parent.parent.parent, 'elem_id', None) == 'ModelPanel')) is_cloud_dreambooth_model_name = type(component) is gr.Dropdown and \ getattr(component, 'elem_id', None) == 'cloud_db_model_name' is_machine_type_for_train = type(component) is gr.Dropdown and \ getattr(component, 'elem_id', None) == 'cloud_train_instance_type' is_dreambooth_use_txt2img = type(component) is gr.Checkbox and getattr(component, 'label', None) == 'Use txt2img' is_training_job_dashboard = type(component) is gr.Dataframe and getattr(component, 'elem_id', None) == 'training_job_dashboard' is_db_save_config = getattr(component, 'elem_id', None) == 'db_save_config' if is_dreambooth_train: db_sagemaker_train = gr.Button(value="SageMaker Train", elem_id="db_sagemaker_train", variant='primary') if is_dreambooth_model_name: db_model_name = component if is_cloud_dreambooth_model_name: cloud_db_model_name = component if is_training_job_dashboard: training_job_dashboard = component if is_machine_type_for_train: cloud_train_instance_type = component if is_dreambooth_use_txt2img: db_use_txt2img = component if is_db_save_config: db_save_config = component # After all requiment comment is loaded, add the SageMaker training button click callback function. if training_job_dashboard is not None and cloud_train_instance_type is not None and \ cloud_db_model_name is not None and db_model_name is not None and \ db_use_txt2img is not None and db_sagemaker_train is not None and \ ( is_dreambooth_train or is_dreambooth_model_name or is_dreambooth_use_txt2img or is_cloud_dreambooth_model_name or is_machine_type_for_train or is_training_job_dashboard): db_model_name.value = "dummy_local_model" db_sagemaker_train.click( fn=async_cloud_train, _js="db_start_sagemaker_train", inputs=[ db_model_name, cloud_db_model_name, db_use_txt2img, cloud_train_instance_type ], outputs=[training_job_dashboard] ) # Hook image display logic global txt2img_gallery, txt2img_generation_info, txt2img_html_info, txt2img_show_hook, txt2img_prompt is_txt2img_gallery = type(component) is gr.Gallery and getattr(component, 'elem_id', None) == 'txt2img_gallery' is_txt2img_generation_info = type(component) is gr.Textbox and getattr(component, 'elem_id', None) == 'generation_info_txt2img' is_txt2img_html_info = type(component) is gr.HTML and getattr(component, 'elem_id', None) == 'html_info_txt2img' is_txt2img_prompt = type(component) is gr.Textbox and getattr(component, 'elem_id', None) == 'txt2img_prompt' if is_txt2img_prompt: txt2img_prompt = component if is_txt2img_gallery: txt2img_gallery = component if is_txt2img_generation_info: txt2img_generation_info = component if is_txt2img_html_info: txt2img_html_info = component if sagemaker_ui.inference_job_dropdown is not None and \ txt2img_gallery is not None and \ txt2img_generation_info is not None and \ txt2img_html_info is not None and \ txt2img_show_hook is None and \ txt2img_prompt is not None: txt2img_show_hook = "finish" sagemaker_ui.inference_job_dropdown.change( fn=sagemaker_ui.fake_gan, inputs=[sagemaker_ui.inference_job_dropdown, txt2img_prompt], outputs=[txt2img_gallery, txt2img_generation_info, txt2img_html_info, txt2img_prompt] ) global img2img_gallery, img2img_generation_info, img2img_html_info, img2img_show_hook, \ img2img_prompt, \ init_img, \ sketch, \ init_img_with_mask, \ inpaint_color_sketch, \ init_img_inpaint, \ init_mask_inpaint is_img2img_gallery = type(component) is gr.Gallery and getattr(component, 'elem_id', None) == 'img2img_gallery' is_img2img_generation_info = type(component) is gr.Textbox and getattr(component, 'elem_id', None) == 'generation_info_img2img' is_img2img_html_info = type(component) is gr.HTML and getattr(component, 'elem_id', None) == 'html_info_img2img' is_img2img_prompt = type(component) is gr.Textbox and getattr(component, 'elem_id', None) == 'img2img_prompt' is_init_img = type(component) is gr.Image and getattr(component, 'elem_id', None) == 'img2img_image' is_sketch = type(component) is gr.Image and getattr(component, 'elem_id', None) == 'img2img_sketch' is_init_img_with_mask = type(component) is gr.Image and getattr(component, 'elem_id', None) == 'img2maskimg' is_inpaint_color_sketch = type(component) is gr.Image and getattr(component, 'elem_id', None) == 'inpaint_sketch' is_init_img_inpaint = type(component) is gr.Image and getattr(component, 'elem_id', None) == 'img_inpaint_base' is_init_mask_inpaint = type(component) is gr.Image and getattr(component, 'elem_id', None) == 'img_inpaint_mask' if is_img2img_gallery: img2img_gallery = component if is_img2img_generation_info: img2img_generation_info = component if is_img2img_html_info: img2img_html_info = component if is_img2img_prompt: img2img_prompt = component if is_init_img: init_img = component if is_sketch: sketch = component if is_init_img_with_mask: init_img_with_mask = component if is_inpaint_color_sketch: inpaint_color_sketch = component if is_init_img_inpaint: init_img_inpaint = component if is_init_mask_inpaint: init_mask_inpaint = component if sagemaker_ui.inference_job_dropdown is not None and \ img2img_gallery is not None and \ img2img_generation_info is not None and \ img2img_html_info is not None and \ img2img_show_hook is None and \ img2img_prompt is not None: img2img_show_hook = "finish" sagemaker_ui.inference_job_dropdown.change( fn=sagemaker_ui.fake_gan, inputs=[sagemaker_ui.inference_job_dropdown, img2img_prompt], outputs=[img2img_gallery, img2img_generation_info, img2img_html_info, img2img_prompt] ) def create_refresh_button_by_user(refresh_component, refresh_method, refreshed_args, elem_id): def refresh(pr: gradio.Request): refresh_method(pr.username) args = refreshed_args(pr.username) if callable(refreshed_args) else refreshed_args for k, v in args.items(): setattr(refresh_component, k, v) return gr.update(**(args or {})) refresh_symbol = '\U0001f504' # 🔄 refresh_button = ToolButton(value=refresh_symbol, elem_id=elem_id) refresh_button.click( fn=refresh, inputs=[], outputs=[refresh_component] ) return refresh_button