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| import gradio as gr | |
| import torch | |
| import numpy as np | |
| import requests | |
| import random | |
| from io import BytesIO | |
| from utils import * | |
| from constants import * | |
| from inversion_utils import * | |
| from modified_pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline | |
| from torch import autocast, inference_mode | |
| from diffusers import StableDiffusionPipeline | |
| from diffusers import DDIMScheduler | |
| from transformers import AutoProcessor, BlipForConditionalGeneration | |
| # load pipelines | |
| sd_model_id = "stabilityai/stable-diffusion-2-1-base" | |
| device = torch.device("cuda" if torch.cuda.is_available() else "cpu") | |
| sd_pipe = StableDiffusionPipeline.from_pretrained(sd_model_id).to(device) | |
| sd_pipe.scheduler = DDIMScheduler.from_config(sd_model_id, subfolder = "scheduler") | |
| sem_pipe = SemanticStableDiffusionPipeline.from_pretrained(sd_model_id).to(device) | |
| blip_processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-base") | |
| blip_model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base").to(device) | |
| ## IMAGE CPATIONING ## | |
| def caption_image(input_image): | |
| inputs = blip_processor(images=input_image, return_tensors="pt").to(device) | |
| pixel_values = inputs.pixel_values | |
| generated_ids = blip_model.generate(pixel_values=pixel_values, max_length=50) | |
| generated_caption = blip_processor.batch_decode(generated_ids, skip_special_tokens=True)[0] | |
| return generated_caption | |
| ## DDPM INVERSION AND SAMPLING ## | |
| def invert(x0, prompt_src="", num_diffusion_steps=100, cfg_scale_src = 3.5, eta = 1): | |
| # inverts a real image according to Algorihm 1 in https://arxiv.org/pdf/2304.06140.pdf, | |
| # based on the code in https://github.com/inbarhub/DDPM_inversion | |
| # returns wt, zs, wts: | |
| # wt - inverted latent | |
| # wts - intermediate inverted latents | |
| # zs - noise maps | |
| sd_pipe.scheduler.set_timesteps(num_diffusion_steps) | |
| # vae encode image | |
| with autocast("cuda"), inference_mode(): | |
| w0 = (sd_pipe.vae.encode(x0).latent_dist.mode() * 0.18215).float() | |
| # find Zs and wts - forward process | |
| wt, zs, wts = inversion_forward_process(sd_pipe, w0, etas=eta, prompt=prompt_src, cfg_scale=cfg_scale_src, prog_bar=True, num_inference_steps=num_diffusion_steps) | |
| return zs, wts | |
| def sample(zs, wts, prompt_tar="", cfg_scale_tar=15, skip=36, eta = 1): | |
| # reverse process (via Zs and wT) | |
| w0, _ = inversion_reverse_process(sd_pipe, xT=wts[skip], etas=eta, prompts=[prompt_tar], cfg_scales=[cfg_scale_tar], prog_bar=True, zs=zs[skip:]) | |
| # vae decode image | |
| with autocast("cuda"), inference_mode(): | |
| x0_dec = sd_pipe.vae.decode(1 / 0.18215 * w0).sample | |
| if x0_dec.dim()<4: | |
| x0_dec = x0_dec[None,:,:,:] | |
| img = image_grid(x0_dec) | |
| return img | |
| def reconstruct(tar_prompt, | |
| tar_cfg_scale, | |
| skip, | |
| wts, zs, | |
| do_reconstruction, | |
| reconstruction, | |
| reconstruct_button | |
| ): | |
| if reconstruct_button == "Hide Reconstruction": | |
| return reconstruction.value, reconstruction, ddpm_edited_image.update(visible=False), do_reconstruction, "Show Reconstruction" | |
| else: | |
| if do_reconstruction: | |
| reconstruction_img = sample(zs.value, wts.value, prompt_tar=tar_prompt, skip=skip, cfg_scale_tar=tar_cfg_scale) | |
| reconstruction = gr.State(value=reconstruction_img) | |
| do_reconstruction = False | |
| return reconstruction.value, reconstruction, ddpm_edited_image.update(visible=True), do_reconstruction, "Hide Reconstruction" | |
| def load_and_invert( | |
| input_image, | |
| do_inversion, | |
| seed, randomize_seed, | |
| wts, zs, | |
| src_prompt ="", | |
| tar_prompt="", | |
| steps=100, | |
| src_cfg_scale = 3.5, | |
| skip=36, | |
| tar_cfg_scale=15, | |
| progress=gr.Progress(track_tqdm=True) | |
| ): | |
| x0 = load_512(input_image, device=device) | |
| if do_inversion or randomize_seed: | |
| # invert and retrieve noise maps and latent | |
| zs_tensor, wts_tensor = invert(x0 =x0 , prompt_src=src_prompt, num_diffusion_steps=steps, cfg_scale_src=src_cfg_scale) | |
| wts = gr.State(value=wts_tensor) | |
| zs = gr.State(value=zs_tensor) | |
| do_inversion = False | |
| return wts, zs, do_inversion, inversion_progress.update(visible=False) | |
| ## SEGA ## | |
| def edit(input_image, | |
| wts, zs, | |
| tar_prompt, | |
| steps, | |
| skip, | |
| tar_cfg_scale, | |
| edit_concept_1,edit_concept_2,edit_concept_3, | |
| guidnace_scale_1,guidnace_scale_2,guidnace_scale_3, | |
| warmup_1, warmup_2, warmup_3, | |
| neg_guidance_1, neg_guidance_2, neg_guidance_3, | |
| threshold_1, threshold_2, threshold_3, | |
| do_reconstruction, | |
| reconstruction): | |
| if edit_concept_1 != "" or edit_concept_2 != "" or edit_concept_3 != "": | |
| editing_args = dict( | |
| editing_prompt = [edit_concept_1,edit_concept_2,edit_concept_3], | |
| reverse_editing_direction = [ neg_guidance_1, neg_guidance_2, neg_guidance_3,], | |
| edit_warmup_steps=[warmup_1, warmup_2, warmup_3,], | |
| edit_guidance_scale=[guidnace_scale_1,guidnace_scale_2,guidnace_scale_3], | |
| edit_threshold=[threshold_1, threshold_2, threshold_3], | |
| edit_momentum_scale=0.3, | |
| edit_mom_beta=0.6, | |
| eta=1,) | |
| latnets = wts.value[skip].expand(1, -1, -1, -1) | |
| sega_out = sem_pipe(prompt=tar_prompt, latents=latnets, guidance_scale = tar_cfg_scale, | |
| num_images_per_prompt=1, | |
| num_inference_steps=steps, | |
| use_ddpm=True, wts=wts.value, zs=zs.value[skip:], **editing_args) | |
| return sega_out.images[0], reconstruct_button.update(visible=True), do_reconstruction, reconstruction | |
| else: # if sega concepts were not added, performs regular ddpm sampling | |
| if do_reconstruction: # if ddpm sampling wasn't computed | |
| pure_ddpm_img = sample(zs.value, wts.value, prompt_tar=tar_prompt, skip=skip, cfg_scale_tar=tar_cfg_scale) | |
| reconstruction = gr.State(value=pure_ddpm_img) | |
| do_reconstruction = False | |
| return pure_ddpm_img, reconstruct_button.update(visible=False), do_reconstruction, reconstruction | |
| return reconstruction.value, reconstruct_button.update(visible=False), do_reconstruction, reconstruction | |
| def randomize_seed_fn(seed, randomize_seed): | |
| if randomize_seed: | |
| seed = random.randint(0, np.iinfo(np.int32).max) | |
| torch.manual_seed(seed) | |
| return seed | |
| def get_example(): | |
| case = [ | |
| [ | |
| 'examples/lemons_input.jpg', | |
| # '', | |
| 'a ceramic bowl', | |
| 'apples', 'lemons', | |
| 'examples/lemons_output.jpg', | |
| 7,7, | |
| 1,1, | |
| False, True, | |
| 100, | |
| 36, | |
| 15, | |
| ], | |
| [ | |
| 'examples/rockey_shore_input.jpg', | |
| # '', | |
| 'watercolor painting', | |
| 'sea turtle', '', | |
| 'examples/rockey_shore_output.jpg', | |
| 7,7, | |
| 1,2, | |
| False,False, | |
| 100, | |
| 36, | |
| 15, | |
| ], | |
| [ | |
| 'examples/flower_field_input.jpg', | |
| # '', | |
| 'oil painting', | |
| 'colorful flowers', 'red flowers', | |
| 'examples/flower_field_output.jpg', | |
| 20,7, | |
| 1,1, | |
| False, True, | |
| 100, | |
| 36, | |
| 15, | |
| ], | |
| [ | |
| 'examples/flower_field_input.jpg', | |
| # '', | |
| 'oil painting', | |
| 'wheat', 'red flowers', | |
| 'examples/flower_field_output_2.jpg', | |
| 20,7, | |
| 1,1, | |
| False,True, | |
| 100, | |
| 36, | |
| 15, | |
| ], | |
| [ | |
| 'examples/butterfly_input.jpg', | |
| # '', | |
| 'oil painting', | |
| 'bee', 'butterfly', | |
| 'examples/butterfly_output.jpg', | |
| 7, 7, | |
| 1,1, | |
| False, True, | |
| 100, | |
| 36, | |
| 15, | |
| ] | |
| ] | |
| return case | |
| def swap_visibilities(input_image, | |
| tar_prompt, | |
| edit_concept_1, | |
| edit_concept_2, | |
| sega_edited_image, | |
| guidnace_scale_1, | |
| guidnace_scale_2, | |
| warmup_1, | |
| warmup_2, | |
| neg_guidance_1, | |
| neg_guidance_2, | |
| steps, | |
| skip, | |
| tar_cfg_scale, | |
| sega_concepts_counter | |
| ): | |
| sega_concepts_counter=0 | |
| concept1_update = update_display_concept("Remove" if neg_guidance_1 else "Add", edit_concept_1, neg_guidance_1, sega_concepts_counter) | |
| if(edit_concept_2 != ""): | |
| concept2_update = update_display_concept("Remove" if neg_guidance_2 else "Add", edit_concept_2, neg_guidance_2, sega_concepts_counter+1) | |
| else: | |
| concept2_update = gr.update(visible=False), gr.update(visible=False),gr.update(visible=False), gr.update(value=neg_guidance_2),gr.update(visible=True),gr.update(visible=False),sega_concepts_counter+1 | |
| return (*concept1_update[:-1], *concept2_update) | |
| ######## | |
| # demo # | |
| ######## | |
| intro = """ | |
| <h1 style="font-weight: 1400; text-align: center; margin-bottom: 7px;"> | |
| LEDITS - Pipeline for editing images | |
| </h1> | |
| <h3 style="font-weight: 600; text-align: center;"> | |
| Real Image Latent Editing with Edit Friendly DDPM and Semantic Guidance | |
| </h3> | |
| <h4 style="text-align: center; margin-bottom: 7px;"> | |
| <a href="https://editing-images-project.hf.space/" style="text-decoration: underline;" target="_blank">Project Page</a> | <a href="#" style="text-decoration: underline;" target="_blank">ArXiv</a> | |
| </h4> | |
| <p style="font-size: 0.9rem; margin: 0rem; line-height: 1.2em; margin-top:1em"> | |
| <a href="https://huggingface.co/spaces/editing-images/edit_friendly_ddpm_x_sega?duplicate=true"> | |
| <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3CWLGkA" alt="Duplicate Space"></a> | |
| <p/>""" | |
| help_text = """ | |
| - **Getting Started - edit images with DDPM X SEGA:** | |
| The are 3 general setting options you can play with - | |
| 1. **Pure DDPM Edit -** Describe the desired edited output image in detail | |
| 2. **Pure SEGA Edit -** Keep the target prompt empty ***or*** with a description of the original image and add editing concepts for Semantic Gudiance editing | |
| 3. **Combined -** Describe the desired edited output image in detail and add additional SEGA editing concepts on top | |
| - **Getting Started - Tips** | |
| While the best approach depends on your editing objective and source image, we can layout a few guiding tips to use as a starting point - | |
| 1. **DDPM** is usually more suited for scene/style changes and major subject changes (for example ) while **SEGA** allows for more fine grained control, changes are more delicate, more suited for adding details (for example facial expressions and attributes, subtle style modifications, object adding/removing) | |
| 2. The more you describe the scene in the target prompt (both the parts and details you wish to keep the same and those you wish to change), the better the result | |
| 3. **Combining DDPM Edit with SEGA -** | |
| Try dividing your editing objective to more significant scene/style/subject changes and detail adding/removing and more moderate changes. Then describe the major changes in a detailed target prompt and add the more fine grained details as SEGA concepts. | |
| 4. **Reconstruction:** Using an empty source prompt + target prompt will lead to a perfect reconstruction | |
| - **Fidelity vs creativity**: | |
| Bigger values → more fidelity, smaller values → more creativity | |
| 1. `Skip Steps` | |
| 2. `Warmup` (SEGA) | |
| 3. `Threshold` (SEGA) | |
| Bigger values → more creativity, smaller values → more fidelity | |
| 1. `Guidance Scale` | |
| 2. `Concept Guidance Scale` (SEGA) | |
| """ | |
| with gr.Blocks(css="style.css") as demo: | |
| def update_counter(sega_concepts_counter, concept1, concept2, concept3): | |
| if sega_concepts_counter == "": | |
| sega_concepts_counter = sum(1 for concept in (concept1, concept2, concept3) if concept != '') | |
| return sega_concepts_counter | |
| def remove_concept(sega_concepts_counter, row_triggered): | |
| sega_concepts_counter -= 1 | |
| rows_visibility = [gr.update(visible=False) for _ in range(4)] | |
| if(row_triggered-1 > sega_concepts_counter): | |
| rows_visibility[sega_concepts_counter] = gr.update(visible=True) | |
| else: | |
| rows_visibility[row_triggered-1] = gr.update(visible=True) | |
| row1_visibility, row2_visibility, row3_visibility, row4_visibility = rows_visibility | |
| guidance_scale_label = "Concept Guidance Scale" | |
| enable_interactive = gr.update(interactive=True) | |
| return (gr.update(visible=False), | |
| gr.update(visible=False, value="",), | |
| gr.update(interactive=True, value=""), | |
| gr.update(visible=False,label = guidance_scale_label), | |
| gr.update(interactive=True, value =False), | |
| gr.update(visible=True), | |
| enable_interactive, | |
| row1_visibility, | |
| row2_visibility, | |
| row3_visibility, | |
| row4_visibility, | |
| sega_concepts_counter | |
| ) | |
| def update_display_concept(button_label, edit_concept, neg_guidance, sega_concepts_counter): | |
| sega_concepts_counter += 1 | |
| guidance_scale_label = "Concept Guidance Scale" | |
| if(button_label=='Remove'): | |
| neg_guidance = True | |
| guidance_scale_label = "Negative Guidance Scale" | |
| return (gr.update(visible=True), #boxn | |
| gr.update(visible=True, value=edit_concept), #concept_n | |
| gr.update(visible=True,label = guidance_scale_label), #guidance_scale_n | |
| gr.update(value=neg_guidance),#neg_guidance_n | |
| gr.update(visible=False), #row_n | |
| gr.update(visible=True), #row_n+1 | |
| sega_concepts_counter | |
| ) | |
| def display_editing_options(run_button, clear_button, sega_tab): | |
| return run_button.update(visible=True), clear_button.update(visible=True), sega_tab.update(visible=True) | |
| def update_interactive_mode(add_button_label): | |
| if add_button_label == "Clear": | |
| return gr.update(interactive=False), gr.update(interactive=False) | |
| else: | |
| return gr.update(interactive=True), gr.update(interactive=True) | |
| def update_dropdown_parms(dropdown): | |
| if dropdown == 'custom': | |
| return DEFAULT_SEGA_CONCEPT_GUIDANCE_SCALE,DEFAULT_WARMUP_STEPS, DEFAULT_THRESHOLD | |
| elif dropdown =='style': | |
| return STYLE_SEGA_CONCEPT_GUIDANCE_SCALE,STYLE_WARMUP_STEPS, STYLE_THRESHOLD | |
| elif dropdown =='object': | |
| return OBJECT_SEGA_CONCEPT_GUIDANCE_SCALE,OBJECT_WARMUP_STEPS, OBJECT_THRESHOLD | |
| elif dropdown =='facial': | |
| return FACE_SEGA_CONCEPT_GUIDANCE_SCALE,FACE_WARMUP_STEPS, FACE_THRESHOLD | |
| def reset_do_inversion(): | |
| return True | |
| def reset_do_reconstruction(): | |
| do_reconstruction = True | |
| return do_reconstruction | |
| def update_inversion_progress_visibility(input_image, do_inversion): | |
| if do_inversion and not input_image is None: | |
| return inversion_progress.update(visible=True) | |
| else: | |
| return inversion_progress.update(visible=False) | |
| gr.HTML(intro) | |
| wts = gr.State() | |
| zs = gr.State() | |
| reconstruction = gr.State() | |
| do_inversion = gr.State(value=True) | |
| do_reconstruction = gr.State(value=True) | |
| sega_concepts_counter = gr.State(0) | |
| with gr.Row(): | |
| input_image = gr.Image(label="Input Image", interactive=True) | |
| ddpm_edited_image = gr.Image(label=f"Pure DDPM Inversion Image", interactive=False, visible=False) | |
| sega_edited_image = gr.Image(label=f"LEDITS Edited Image", interactive=False) | |
| input_image.style(height=365, width=365) | |
| ddpm_edited_image.style(height=365, width=365) | |
| sega_edited_image.style(height=365, width=365) | |
| with gr.Row(): | |
| with gr.Box(visible=False) as box1: | |
| with gr.Row(): | |
| concept_1 = gr.Button(scale=3) | |
| remove_concept1 = gr.Button("x", scale=1, min_width=10) | |
| with gr.Row(): | |
| guidnace_scale_1 = gr.Slider(label='Concept Guidance Scale', minimum=1, maximum=30, | |
| info="How strongly the concept should modify the image", | |
| value=DEFAULT_SEGA_CONCEPT_GUIDANCE_SCALE, | |
| step=0.5, interactive=True) | |
| with gr.Box(visible=False) as box2: | |
| with gr.Row(): | |
| concept_2 = gr.Button(scale=3) | |
| remove_concept2 = gr.Button("x", scale=1, min_width=10) | |
| with gr.Row(): | |
| guidnace_scale_2 = gr.Slider(label='Concept Guidance Scale', minimum=1, maximum=30, | |
| info="How strongly the concept should modify the image", | |
| value=DEFAULT_SEGA_CONCEPT_GUIDANCE_SCALE, | |
| step=0.5, interactive=True) | |
| with gr.Box(visible=False) as box3: | |
| with gr.Row(): | |
| concept_3 = gr.Button(visible=False, scale=3) | |
| remove_concept3 = gr.Button("x", scale=1, min_width=10) | |
| with gr.Row(): | |
| guidnace_scale_3 = gr.Slider(label='Concept Guidance Scale', minimum=1, maximum=30, | |
| info="How strongly the concept should modify the image", | |
| value=DEFAULT_SEGA_CONCEPT_GUIDANCE_SCALE, | |
| step=0.5, interactive=True,visible=False) | |
| with gr.Row(): | |
| inversion_progress = gr.Textbox(visible=False, label="Inversion progress") | |
| with gr.Row().style(mobile_collapse=False, equal_height=True): | |
| tar_prompt = gr.Textbox( | |
| label="Describe your edited image", | |
| # show_label=False, | |
| max_lines=1, value="", | |
| placeholder="Target prompt, DDPM Inversion", | |
| ) | |
| with gr.Box(): | |
| intro_segs = gr.Markdown("Add/Remove SEGA Concepts from your Image") | |
| # 1st SEGA concept | |
| with gr.Row().style(mobile_collapse=False) as row1: | |
| with gr.Column(scale=3, min_width=100): | |
| edit_concept_1 = gr.Textbox( | |
| label="Edit Concept", | |
| show_label=True, | |
| max_lines=1, value="", | |
| placeholder="E.g.: Sunglasses", | |
| ) | |
| with gr.Column(scale=2, min_width=100): | |
| dropdown1 = gr.Dropdown(label = "Edit Type", value ='custom' , choices=['custom','style', 'object', 'facial']) | |
| with gr.Column(scale=1, min_width=100, visible=False): | |
| neg_guidance_1 = gr.Checkbox( | |
| label='Remove Concept?') | |
| with gr.Column(scale=1, min_width=100): | |
| add_1 = gr.Button('Add') | |
| remove_1 = gr.Button('Remove') | |
| # 2nd SEGA concept | |
| with gr.Row(visible=False).style(equal_height=True) as row2: | |
| with gr.Column(scale=3, min_width=100): | |
| edit_concept_2 = gr.Textbox( | |
| label="Edit Concept", | |
| show_label=True, | |
| max_lines=1, | |
| placeholder="E.g.: Realistic", | |
| ) | |
| with gr.Column(scale=1, min_width=100, visible=False): | |
| neg_guidance_2 = gr.Checkbox( | |
| label='Remove Concept?') | |
| with gr.Column(scale=2, min_width=100): | |
| dropdown2 = gr.Dropdown(label = "Edit Type", value ='custom' , choices=['custom','style', 'object', 'facial']) | |
| with gr.Column(scale=1, min_width=100): | |
| add_2 = gr.Button('Add') | |
| remove_2 = gr.Button('Remove') | |
| # 3rd SEGA concept | |
| with gr.Row(visible=False).style(equal_height=True) as row3: | |
| with gr.Column(scale=3, min_width=100): | |
| edit_concept_3 = gr.Textbox( | |
| label="Edit Concept", | |
| show_label=True, | |
| max_lines=1, | |
| placeholder="E.g.: orange", | |
| ) | |
| with gr.Column(scale=1, min_width=100, visible=False): | |
| neg_guidance_3 = gr.Checkbox( | |
| label='Remove Concept?',visible=True) | |
| with gr.Column(scale=2, min_width=100): | |
| dropdown3 = gr.Dropdown(label = "Edit Type", value ='custom' , choices=['custom','style', 'object', 'facial']) | |
| with gr.Column(scale=1, min_width=100): | |
| add_3 = gr.Button('Add') | |
| remove_3 = gr.Button('Remove') | |
| with gr.Row(visible=False).style(equal_height=True) as row4: | |
| gr.Markdown("### Max of 3 concepts reached. Remove a concept to add more") | |
| #with gr.Row(visible=False).style(mobile_collapse=False, equal_height=True): | |
| # add_concept_button = gr.Button("+1 concept") | |
| with gr.Row(): | |
| run_button = gr.Button("Edit your image!", visible=True) | |
| with gr.Accordion("Advanced Options", open=False): | |
| with gr.Tabs() as tabs: | |
| with gr.TabItem('General options', id=2): | |
| with gr.Row(): | |
| with gr.Column(min_width=100): | |
| clear_button = gr.Button("Clear", visible=True) | |
| src_prompt = gr.Textbox(lines=1, label="Source Prompt", interactive=True, placeholder="") | |
| steps = gr.Number(value=100, precision=0, label="Num Diffusion Steps", interactive=True) | |
| src_cfg_scale = gr.Number(value=3.5, label=f"Source Guidance Scale", interactive=True) | |
| with gr.Column(min_width=100): | |
| reconstruct_button = gr.Button("Show Reconstruction", visible=False) | |
| skip = gr.Slider(minimum=0, maximum=60, value=36, label="Skip Steps", interactive=True) | |
| tar_cfg_scale = gr.Slider(minimum=7, maximum=30,value=15, label=f"Guidance Scale", interactive=True) | |
| seed = gr.Number(value=0, precision=0, label="Seed", interactive=True) | |
| randomize_seed = gr.Checkbox(label='Randomize seed', value=False) | |
| with gr.TabItem('SEGA options', id=3) as sega_advanced_tab: | |
| # 1st SEGA concept | |
| gr.Markdown("1st concept") | |
| with gr.Row().style(mobile_collapse=False, equal_height=True): | |
| warmup_1 = gr.Slider(label='Warmup', minimum=0, maximum=50, | |
| value=DEFAULT_WARMUP_STEPS, | |
| step=1, interactive=True, info="at which step to start applying semantic guidance?") | |
| threshold_1 = gr.Slider(label='Threshold', minimum=0.5, maximum=0.99, | |
| value=DEFAULT_THRESHOLD, step=0.01, interactive=True, | |
| info = "threshold of the percent of noise estimate’s dimensions used for semantic guidance. Lower the threshold for more effect (e.g. ~0.9 for style transfer)") | |
| # 2nd SEGA concept | |
| gr.Markdown("2nd concept") | |
| with gr.Row() as row2_advanced: | |
| warmup_2 = gr.Slider(label='Warmup', minimum=0, maximum=50, | |
| value=DEFAULT_WARMUP_STEPS, | |
| step=1, interactive=True, info="at which step to start applying semantic guidance?") | |
| threshold_2 = gr.Slider(label='Threshold', minimum=0.5, maximum=0.99, | |
| value=DEFAULT_THRESHOLD, | |
| step=0.01, interactive=True, | |
| info = "threshold of the percent of noise estimate’s dimensions used for semantic guidnace. Lower the threshold for more effect (e.g. ~0.9 for style transfer)") | |
| # 3rd SEGA concept | |
| gr.Markdown("3rd concept") | |
| with gr.Row() as row3_advanced: | |
| warmup_3 = gr.Slider(label='Warmup', minimum=0, maximum=50, | |
| value=DEFAULT_WARMUP_STEPS, step=1, | |
| interactive=True, info="at which step to start applying semantic guidance?") | |
| threshold_3 = gr.Slider(label='Threshold', minimum=0.5, maximum=0.99, | |
| value=DEFAULT_THRESHOLD, step=0.01, | |
| interactive=True, | |
| info = "threshold of the percent of noise estimate’s dimensions used for semantic guidance. Lower the threshold for more effect (e.g. ~0.9 for style transfer)") | |
| # caption_button.click( | |
| # fn = caption_image, | |
| # inputs = [input_image], | |
| # outputs = [tar_prompt] | |
| # ) | |
| #neg_guidance_1.change(fn = update_label, inputs=[neg_guidance_1], outputs=[add_1]) | |
| #neg_guidance_2.change(fn = update_label, inputs=[neg_guidance_2], outputs=[add_2]) | |
| #neg_guidance_3.change(fn = update_label, inputs=[neg_guidance_3], outputs=[add_3]) | |
| add_1.click(fn=update_counter,inputs=[sega_concepts_counter,edit_concept_1,edit_concept_2,edit_concept_3], outputs=sega_concepts_counter).then(fn = update_display_concept, inputs=[add_1, edit_concept_1, neg_guidance_1, sega_concepts_counter], outputs=[box1, concept_1, guidnace_scale_1,neg_guidance_1,row1, row2, sega_concepts_counter],queue=False) | |
| add_2.click(fn=update_counter,inputs=[sega_concepts_counter,edit_concept_1,edit_concept_2,edit_concept_3], outputs=sega_concepts_counter).then(fn = update_display_concept, inputs=[add_2, edit_concept_2, neg_guidance_2, sega_concepts_counter], outputs=[box2, concept_2, guidnace_scale_2,neg_guidance_2,row2, row3, sega_concepts_counter],queue=False) | |
| add_3.click(fn=update_counter,inputs=[sega_concepts_counter,edit_concept_1,edit_concept_2,edit_concept_3], outputs=sega_concepts_counter).then(fn = update_display_concept, inputs=[add_3, edit_concept_3, neg_guidance_3, sega_concepts_counter], outputs=[box3, concept_3, guidnace_scale_3,neg_guidance_3,row3, row4, sega_concepts_counter],queue=False) | |
| remove_1.click(fn = update_display_concept, inputs=[remove_1, edit_concept_1, neg_guidance_1, sega_concepts_counter], outputs=[box1, concept_1, guidnace_scale_1,neg_guidance_1,row1, row2, sega_concepts_counter],queue=False) | |
| remove_2.click(fn = update_display_concept, inputs=[remove_2, edit_concept_2, neg_guidance_2 ,sega_concepts_counter], outputs=[box2, concept_2, guidnace_scale_2,neg_guidance_2,row2, row3,sega_concepts_counter],queue=False) | |
| remove_3.click(fn = update_display_concept, inputs=[remove_3, edit_concept_3, neg_guidance_3, sega_concepts_counter], outputs=[box3, concept_3, guidnace_scale_3,neg_guidance_3, row3, row4, sega_concepts_counter],queue=False) | |
| remove_concept1.click( | |
| fn=update_counter,inputs=[sega_concepts_counter,edit_concept_1,edit_concept_2,edit_concept_3], outputs=sega_concepts_counter).then( | |
| fn = remove_concept, inputs=[sega_concepts_counter,gr.State(1)], outputs= [box1, concept_1, edit_concept_1, guidnace_scale_1,neg_guidance_1, add_1, dropdown1, row1, row2, row3, row4, sega_concepts_counter],queue=False) | |
| remove_concept2.click( | |
| fn=update_counter,inputs=[sega_concepts_counter,edit_concept_1,edit_concept_2,edit_concept_3], outputs=sega_concepts_counter).then( | |
| fn = remove_concept, inputs=[sega_concepts_counter,gr.State(2)], outputs=[box2, concept_2, edit_concept_2, guidnace_scale_2,neg_guidance_2, add_2 , dropdown2, row1, row2, row3, row4, sega_concepts_counter],queue=False) | |
| remove_concept3.click( | |
| fn=update_counter,inputs=[sega_concepts_counter,edit_concept_1,edit_concept_2,edit_concept_3], outputs=sega_concepts_counter).then( | |
| fn = remove_concept,inputs=[sega_concepts_counter,gr.State(3)], outputs=[box3, concept_3, edit_concept_3, guidnace_scale_3,neg_guidance_3, add_3, dropdown3, row1, row2, row3, row4, sega_concepts_counter],queue=False) | |
| #add_concept_button.click(fn = update_display_concept, inputs=sega_concepts_counter, | |
| # outputs= [row2, row2_advanced, row3, row3_advanced, add_concept_button, sega_concepts_counter], queue = False) | |
| run_button.click(fn = update_inversion_progress_visibility, inputs =[input_image,do_inversion], outputs=[inversion_progress],queue=False).then( | |
| fn=load_and_invert, | |
| inputs=[input_image, | |
| do_inversion, | |
| seed, randomize_seed, | |
| wts, zs, | |
| src_prompt, | |
| tar_prompt, | |
| steps, | |
| src_cfg_scale, | |
| skip, | |
| tar_cfg_scale | |
| ], | |
| outputs=[wts, zs, do_inversion, inversion_progress], | |
| ).then(fn = update_inversion_progress_visibility, inputs =[input_image,do_inversion], outputs=[inversion_progress],queue=False).success( | |
| fn=edit, | |
| inputs=[input_image, | |
| wts, zs, | |
| tar_prompt, | |
| steps, | |
| skip, | |
| tar_cfg_scale, | |
| edit_concept_1,edit_concept_2,edit_concept_3, | |
| guidnace_scale_1,guidnace_scale_2,guidnace_scale_3, | |
| warmup_1, warmup_2, warmup_3, | |
| neg_guidance_1, neg_guidance_2, neg_guidance_3, | |
| threshold_1, threshold_2, threshold_3, do_reconstruction, reconstruction | |
| ], | |
| outputs=[sega_edited_image, reconstruct_button, do_reconstruction, reconstruction]) | |
| # .success(fn=update_gallery_display, inputs= [prev_output_image, sega_edited_image], outputs = [gallery, gallery, prev_output_image]) | |
| input_image.change( | |
| fn = reset_do_inversion, | |
| outputs = [do_inversion], | |
| queue = False) | |
| # Automatically start inverting upon input_image change | |
| input_image.upload( | |
| fn = reset_do_inversion, | |
| outputs = [do_inversion], | |
| queue = False).then(fn = caption_image, | |
| inputs = [input_image], | |
| outputs = [tar_prompt]).then(fn = update_inversion_progress_visibility, inputs =[input_image,do_inversion], | |
| outputs=[inversion_progress],queue=False).then( | |
| fn=load_and_invert, | |
| inputs=[input_image, | |
| do_inversion, | |
| seed, randomize_seed, | |
| wts, zs, | |
| src_prompt, | |
| tar_prompt, | |
| steps, | |
| src_cfg_scale, | |
| skip, | |
| tar_cfg_scale, | |
| ], | |
| # outputs=[ddpm_edited_image, wts, zs, do_inversion], | |
| outputs=[wts, zs, do_inversion, inversion_progress], | |
| ).then(fn = update_inversion_progress_visibility, inputs =[input_image,do_inversion], | |
| outputs=[inversion_progress],queue=False).then( | |
| lambda: reconstruct_button.update(visible=False), | |
| outputs=[reconstruct_button]).then( | |
| fn = reset_do_reconstruction, | |
| outputs = [do_reconstruction], | |
| queue = False) | |
| # Repeat inversion (and reconstruction) when these params are changed: | |
| src_prompt.change( | |
| fn = reset_do_inversion, | |
| outputs = [do_inversion], queue = False).then( | |
| fn = reset_do_reconstruction, | |
| outputs = [do_reconstruction], queue = False) | |
| steps.change( | |
| fn = reset_do_inversion, | |
| outputs = [do_inversion], queue = False).then( | |
| fn = reset_do_reconstruction, | |
| outputs = [do_reconstruction], queue = False) | |
| src_cfg_scale.change( | |
| fn = reset_do_inversion, | |
| outputs = [do_inversion], queue = False).then( | |
| fn = reset_do_reconstruction, | |
| outputs = [do_reconstruction], queue = False) | |
| # Repeat only reconstruction these params are changed: | |
| tar_prompt.change( | |
| fn = reset_do_reconstruction, | |
| outputs = [do_reconstruction], queue = False) | |
| tar_cfg_scale.change( | |
| fn = reset_do_reconstruction, | |
| outputs = [do_reconstruction], queue = False) | |
| skip.change( | |
| fn = reset_do_reconstruction, | |
| outputs = [do_reconstruction], queue = False) | |
| dropdown1.change(fn=update_dropdown_parms, inputs = [dropdown1], outputs = [guidnace_scale_1,warmup_1, threshold_1]) | |
| dropdown2.change(fn=update_dropdown_parms, inputs = [dropdown2], outputs = [guidnace_scale_2,warmup_2, threshold_2]) | |
| dropdown3.change(fn=update_dropdown_parms, inputs = [dropdown3], outputs = [guidnace_scale_3,warmup_3, threshold_3]) | |
| clear_components = [input_image,ddpm_edited_image,ddpm_edited_image,sega_edited_image, do_inversion, | |
| src_prompt, steps, src_cfg_scale, seed, | |
| tar_prompt, skip, tar_cfg_scale, reconstruct_button,reconstruct_button, | |
| edit_concept_1, guidnace_scale_1,guidnace_scale_1,warmup_1, threshold_1, neg_guidance_1,dropdown1, concept_1, concept_1, | |
| edit_concept_2, guidnace_scale_2,guidnace_scale_2,warmup_2, threshold_2, neg_guidance_2,dropdown2, concept_2, concept_2, row2, row2_advanced, | |
| edit_concept_3, guidnace_scale_3,guidnace_scale_3,warmup_3, threshold_3, neg_guidance_3,dropdown3, concept_3,concept_3, row3, row3_advanced ] | |
| clear_components_output_vals = [None, None,ddpm_edited_image.update(visible=False), None, True, | |
| "", DEFAULT_DIFFUSION_STEPS, DEFAULT_SOURCE_GUIDANCE_SCALE, DEFAULT_SEED, | |
| "", DEFAULT_SKIP_STEPS, DEFAULT_TARGET_GUIDANCE_SCALE, reconstruct_button.update(value="Show Reconstruction"),reconstruct_button.update(visible=False), | |
| "", DEFAULT_SEGA_CONCEPT_GUIDANCE_SCALE,guidnace_scale_1.update(visible=False), DEFAULT_WARMUP_STEPS, DEFAULT_THRESHOLD, DEFAULT_NEGATIVE_GUIDANCE, "","default", concept_1.update(visible=False), | |
| "", DEFAULT_SEGA_CONCEPT_GUIDANCE_SCALE,guidnace_scale_2.update(visible=False), DEFAULT_WARMUP_STEPS, DEFAULT_THRESHOLD, DEFAULT_NEGATIVE_GUIDANCE, "","default", concept_2.update(visible=False), row2.update(visible=False), row2_advanced.update(visible=False), | |
| "", DEFAULT_SEGA_CONCEPT_GUIDANCE_SCALE,guidnace_scale_3.update(visible=False), DEFAULT_WARMUP_STEPS, DEFAULT_THRESHOLD, DEFAULT_NEGATIVE_GUIDANCE, "","default",concept_3.update(visible=False), row3.update(visible=False), row3_advanced.update(visible=False) | |
| ] | |
| clear_button.click(lambda: clear_components_output_vals, outputs =clear_components) | |
| reconstruct_button.click(lambda: ddpm_edited_image.update(visible=True), outputs=[ddpm_edited_image]).then(fn = reconstruct, | |
| inputs = [tar_prompt, | |
| tar_cfg_scale, | |
| skip, | |
| wts, zs, | |
| do_reconstruction, | |
| reconstruction, | |
| reconstruct_button], | |
| outputs = [ddpm_edited_image,reconstruction, ddpm_edited_image, do_reconstruction, reconstruct_button]) | |
| randomize_seed.change( | |
| fn = randomize_seed_fn, | |
| inputs = [seed, randomize_seed], | |
| outputs = [seed], | |
| queue = False) | |
| gr.Examples( | |
| label='Examples', | |
| fn=swap_visibilities, | |
| run_on_click=True, | |
| examples=get_example(), | |
| inputs=[input_image, | |
| # src_prompt, | |
| tar_prompt, | |
| edit_concept_1, | |
| edit_concept_2, | |
| sega_edited_image, | |
| guidnace_scale_1, | |
| guidnace_scale_2, | |
| warmup_1, | |
| warmup_2, | |
| neg_guidance_1, | |
| neg_guidance_2, | |
| steps, | |
| skip, | |
| tar_cfg_scale, | |
| sega_concepts_counter | |
| ], | |
| outputs=[box1, concept_1, guidnace_scale_1,neg_guidance_1, row1, row2,box2, concept_2, guidnace_scale_2,neg_guidance_2,row2, row3,sega_concepts_counter], | |
| cache_examples=True | |
| ) | |
| demo.queue() | |
| demo.launch() |