Spaces:
Running
on
A10G
Running
on
A10G
Linoy Tsaban
commited on
Commit
•
7b3a214
1
Parent(s):
69cb2e3
Update app.py
Browse files
app.py
CHANGED
@@ -132,7 +132,6 @@ def invert_and_reconstruct(
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src_cfg_scale = 3.5,
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skip=36,
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tar_cfg_scale=15,
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# neg_guidance=False,
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):
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@@ -146,16 +145,11 @@ def invert_and_reconstruct(
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zs = gr.State(value=zs_tensor)
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do_inversion = False
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output = sample(zs.value, wts.value, prompt_tar=tar_prompt, skip=skip, cfg_scale_tar=tar_cfg_scale)
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return output, wts, zs, do_inversion
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def update_sega_concept_table(edit_concept, neg_guidance, concepts_table):
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if edit_concept:
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new_rows = concepts_table.value.append([edit_concept, neg_guidance])
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new_concepts_table = gr.DataFrame(value=new_rows)
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return new_concepts_table
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return concepts_table
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def edit(input_image,
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wts, zs,
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@@ -163,49 +157,29 @@ def edit(input_image,
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steps=100,
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skip=36,
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tar_cfg_scale=15,
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):
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# SEGA
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# parse concepts and neg guidance
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num_concepts = len(edit_concepts)
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neg_guidance =[]
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for edit_concept in edit_concepts:
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edit_concept=edit_concept.strip(" ")
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if edit_concept.startswith("-"):
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neg_guidance.append(True)
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else:
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neg_guidance.append(False)
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edit_concepts = [concept.strip("+|-") for concept in edit_concepts]
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-
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# parse warm-up steps
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default_warm_up_steps = [1]*num_concepts
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if warm_up:
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digit_pattern = re.compile(r"^\d+$")
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warm_up_steps_str = warm_up.split(",")
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for i,num_steps in enumerate(warm_up_steps_str[:num_concepts]):
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if not digit_pattern.match(num_steps):
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raise gr.Error("Invalid value for warm-up steps, using 1 instead")
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else:
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default_warm_up_steps[i] = int(num_steps)
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editing_args = dict(
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editing_prompt =
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reverse_editing_direction =
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edit_warmup_steps=
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edit_guidance_scale=[
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edit_threshold=[
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edit_momentum_scale=0.5,
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edit_mom_beta=0.6
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)
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latnets = wts.value[skip].expand(1, -1, -1, -1)
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sega_out = sem_pipe(prompt=tar_prompt,
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num_images_per_prompt=1,
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num_inference_steps=steps,
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use_ddpm=True, wts=wts.value, zs=zs.value[skip:], **editing_args)
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@@ -246,7 +220,7 @@ with gr.Blocks(css='style.css') as demo:
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with gr.Row():
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input_image = gr.Image(label="Input Image", interactive=True)
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ddpm_edited_image = gr.Image(label=f"DDPM Reconstructed Image", interactive=False, visible=False)
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sega_edited_image = gr.Image(label=f"DDPM + SEGA Edited Image", interactive=False)
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input_image.style(height=512, width=512)
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ddpm_edited_image.style(height=512, width=512)
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@@ -254,31 +228,20 @@ with gr.Blocks(css='style.css') as demo:
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with gr.Row():
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tar_prompt = gr.Textbox(lines=1, label="Target Prompt", interactive=True, placeholder="")
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# edit_concept = gr.Textbox(lines=1, label="Enter SEGA Edit Concept", visible = True, interactive=True)
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# with gr.Column(scale=1):
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# neg_guidance = gr.Checkbox(label="Negative Guidance", value=False)
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# submit_concept = gr.Button(label="Add Concept")
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# concepts_table = gr.Dataframe(
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# headers=["Concepts", "Negative Guidance"],
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# datatype=["str", "bool"],
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# label="SEGA Concepts",
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# )
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with gr.Row():
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with gr.Column(scale=1, min_width=100):
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with gr.Column(scale=1, min_width=100):
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with gr.Accordion("Advanced Options", open=False):
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with gr.Tabs() as tabs:
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with gr.TabItem('SEGA Guidance', id=0):
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with gr.Row().style(mobile_collapse=False, equal_height=True):
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label="Edit
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show_label=False,
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max_lines=1,
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placeholder="Enter your 1st edit prompt",
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@@ -289,11 +252,12 @@ with gr.Blocks(css='style.css') as demo:
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)
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with gr.Group():
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with gr.Row().style(mobile_collapse=False, equal_height=True):
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label='Negative Guidance')
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warmup_1 = gr.Slider(label='Warmup', minimum=0, maximum=50, value=10, step=1, interactive=True)
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threshold_1 = gr.Slider(label='Threshold', minimum=0.5, maximum=0.99, value=0.95, steps=0.01, interactive=True)
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with gr.TabItem('DDPM Guidance', id=1):
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with gr.Row():
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with gr.Column():
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@@ -305,17 +269,14 @@ with gr.Blocks(css='style.css') as demo:
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with gr.Column():
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skip = gr.Slider(minimum=0, maximum=40, value=36, label="Skip Steps", interactive=True)
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tar_cfg_scale = gr.Slider(minimum=7, maximum=18,value=15, label=f"Guidance Scale", interactive=True)
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sega_edit_guidance = gr.Slider(value=10, label=f"SEGA Edit Guidance Scale", interactive=True)
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warm_up = gr.Textbox(label=f"SEGA Warm-up Steps", interactive=True, placeholder="type #warm-up steps for each concpets (e.g. 2,7,5...")
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# neg_guidance = gr.Checkbox(label="SEGA Negative Guidance")
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# gr.Markdown(help_text)
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fn = randomize_seed_fn,
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inputs = [seed, randomize_seed],
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outputs = [seed],
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@@ -332,26 +293,26 @@ with gr.Blocks(css='style.css') as demo:
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skip,
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tar_cfg_scale,
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],
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outputs=[ddpm_edited_image, wts, zs, do_inversion],
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# inputs=[input_image,
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# wts, zs,
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# tar_prompt,
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# steps,
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# skip,
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# tar_cfg_scale,
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# edit_concept,
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# sega_edit_guidance,
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# warm_up,
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# # neg_guidance,
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# ],
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# outputs=[sega_edited_image],
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input_image.change(
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fn = reset_do_inversion,
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src_cfg_scale = 3.5,
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skip=36,
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tar_cfg_scale=15,
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):
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zs = gr.State(value=zs_tensor)
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do_inversion = False
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# output = sample(zs.value, wts.value, prompt_tar=tar_prompt, skip=skip, cfg_scale_tar=tar_cfg_scale)
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# return output, wts, zs, do_inversion
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return wts, zs, do_inversion
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def edit(input_image,
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wts, zs,
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steps=100,
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skip=36,
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tar_cfg_scale=15,
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edit_concept_1 = "",
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guidnace_scale_1 = 10,
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warmup_1 = 1,
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neg_guidance_1 = False,
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threshold_1 = 0.95
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):
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# SEGA
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# parse concepts and neg guidance
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+
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editing_args = dict(
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editing_prompt = [edit_concept_1],
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reverse_editing_direction = [neg_guidance_1],
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edit_warmup_steps=[warmup_1],
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edit_guidance_scale=[guidnace_scale_1],
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edit_threshold=[threshold_1],
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edit_momentum_scale=0.5,
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edit_mom_beta=0.6,
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eta=1,
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)
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latnets = wts.value[skip].expand(1, -1, -1, -1)
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sega_out = sem_pipe(prompt=tar_prompt, latents=latnets, guidance_scale = tar_cfg_scale,
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num_images_per_prompt=1,
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num_inference_steps=steps,
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use_ddpm=True, wts=wts.value, zs=zs.value[skip:], **editing_args)
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with gr.Row():
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input_image = gr.Image(label="Input Image", interactive=True)
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# ddpm_edited_image = gr.Image(label=f"DDPM Reconstructed Image", interactive=False, visible=False)
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sega_edited_image = gr.Image(label=f"DDPM + SEGA Edited Image", interactive=False)
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input_image.style(height=512, width=512)
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ddpm_edited_image.style(height=512, width=512)
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with gr.Row():
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tar_prompt = gr.Textbox(lines=1, label="Target Prompt", interactive=True, placeholder="")
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with gr.Row():
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with gr.Column(scale=1, min_width=100):
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run_button = gr.Button("Run")
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# with gr.Column(scale=1, min_width=100):
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# edit_button = gr.Button("Edit")
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with gr.Accordion("Advanced Options", open=False):
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with gr.Tabs() as tabs:
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with gr.TabItem('SEGA Guidance', id=0):
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with gr.Row().style(mobile_collapse=False, equal_height=True):
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edit_concept_1 = gr.Textbox(
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label="Edit Concept",
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show_label=False,
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max_lines=1,
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placeholder="Enter your 1st edit prompt",
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)
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with gr.Group():
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with gr.Row().style(mobile_collapse=False, equal_height=True):
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neg_guidance_1 = gr.Checkbox(
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label='Negative Guidance')
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warmup_1 = gr.Slider(label='Warmup', minimum=0, maximum=50, value=10, step=1, interactive=True)
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guidnace_scale_1 = gr.Slider(label='Scale', minimum=1, maximum=10, value=5, step=0.25, interactive=True)
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threshold_1 = gr.Slider(label='Threshold', minimum=0.5, maximum=0.99, value=0.95, steps=0.01, interactive=True)
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with gr.TabItem('DDPM Guidance', id=1):
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with gr.Row():
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with gr.Column():
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with gr.Column():
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skip = gr.Slider(minimum=0, maximum=40, value=36, label="Skip Steps", interactive=True)
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tar_cfg_scale = gr.Slider(minimum=7, maximum=18,value=15, label=f"Guidance Scale", interactive=True)
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# gr.Markdown(help_text)
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run_button.click(
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fn = randomize_seed_fn,
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inputs = [seed, randomize_seed],
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outputs = [seed],
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skip,
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tar_cfg_scale,
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],
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# outputs=[ddpm_edited_image, wts, zs, do_inversion],
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outputs=[wts, zs, do_inversion],
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).success(
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fn=edit,
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inputs=[input_image,
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wts, zs,
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tar_prompt,
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steps,
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skip,
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tar_cfg_scale,
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edit_concept_1,
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guidnace_scale_1,
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warmup_1,
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neg_guidance_1,
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threshold_1
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],
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outputs=[sega_edited_image],
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)
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input_image.change(
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fn = reset_do_inversion,
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