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import gradio as gr
from .run import create_zoom
import modules.shared as shared
from webui import wrap_gradio_gpu_call
from modules.ui import create_output_panel
from .static_variables import (
default_prompt,
available_samplers,
default_total_outpaints,
default_sampling_steps,
default_cfg_scale,
default_mask_blur,
default_sampler,
)
from .helpers import putPrompts, clearPrompts
from .prompt_util import readJsonPrompt
from .static_variables import promptTableHeaders
def on_ui_tabs():
with gr.Blocks(analytics_enabled=False) as infinite_zoom_interface:
gr.HTML(
"""
<p style="text-align: center;">
<a target="_blank" href="https://github.com/v8hid/infinite-zoom-automatic1111-webui"><img src="https://img.shields.io/static/v1?label=github&message=repository&color=blue&style=flat&logo=github&logoColor=white" style="display: inline;" alt="GitHub Repo"/></a>
<a href="https://discord.gg/v2nHqSrWdW"><img src="https://img.shields.io/discord/1095469311830806630?color=blue&label=discord&logo=discord&logoColor=white" style="display: inline;" alt="Discord server"></a>
</p>
"""
)
with gr.Row():
generate_btn = gr.Button(value="Generate video", variant="primary")
interrupt = gr.Button(value="Interrupt", elem_id="interrupt_training")
with gr.Row():
with gr.Column(scale=1, variant="panel"):
with gr.Tab("Main"):
with gr.Row():
batchcount_slider = gr.Slider(
minimum=1,
maximum=25,
value=shared.opts.data.get("infzoom_batchcount", 1),
step=1,
label="Batch Count",
)
main_outpaint_steps = gr.Number(
label="Total video length [s]",
value=default_total_outpaints,
precision=0,
interactive=True,
)
# safe reading json prompt
pr = shared.opts.data.get("infzoom_defPrompt", default_prompt)
jpr = readJsonPrompt(pr, True)
main_common_prompt_pre = gr.Textbox(
value=jpr["prePrompt"], label="Common Prompt Prefix"
)
main_prompts = gr.Dataframe(
type="array",
headers=promptTableHeaders,
datatype=["number", "str"],
row_count=1,
col_count=(2, "fixed"),
value=jpr["prompts"],
wrap=True,
)
main_common_prompt_suf = gr.Textbox(
value=jpr["postPrompt"], label="Common Prompt Suffix"
)
main_negative_prompt = gr.Textbox(
value=jpr["negPrompt"], label="Negative Prompt"
)
# these button will be moved using JS under the dataframe view as small ones
exportPrompts_button = gr.Button(
value="Export prompts",
variant="secondary",
elem_classes="sm infzoom_tab_butt",
elem_id="infzoom_exP_butt",
)
importPrompts_button = gr.UploadButton(
label="Import prompts",
variant="secondary",
elem_classes="sm infzoom_tab_butt",
elem_id="infzoom_imP_butt",
)
exportPrompts_button.click(
None,
_js="exportPrompts",
inputs=[
main_common_prompt_pre,
main_prompts,
main_common_prompt_suf,
main_negative_prompt,
],
outputs=None,
)
importPrompts_button.upload(
fn=putPrompts,
outputs=[
main_common_prompt_pre,
main_prompts,
main_common_prompt_suf,
main_negative_prompt,
],
inputs=[importPrompts_button],
)
clearPrompts_button = gr.Button(
value="Clear prompts",
variant="secondary",
elem_classes="sm infzoom_tab_butt",
elem_id="infzoom_clP_butt",
)
clearPrompts_button.click(
fn=clearPrompts,
inputs=[],
outputs=[
main_prompts,
main_negative_prompt,
main_common_prompt_pre,
main_common_prompt_suf,
],
)
with gr.Accordion("Render settings"):
with gr.Row():
seed = gr.Number(
label="Seed", value=-1, precision=0, interactive=True
)
main_sampler = gr.Dropdown(
label="Sampler",
choices=available_samplers,
value=default_sampler,
type="value",
)
with gr.Row():
main_width = gr.Slider(
minimum=16,
maximum=2048,
value=shared.opts.data.get("infzoom_outsizeW", 512),
step=16,
label="Output Width",
)
main_height = gr.Slider(
minimum=16,
maximum=2048,
value=shared.opts.data.get("infzoom_outsizeH", 512),
step=16,
label="Output Height",
)
with gr.Row():
main_guidance_scale = gr.Slider(
minimum=0.1,
maximum=15,
step=0.1,
value=default_cfg_scale,
label="Guidance Scale",
)
sampling_step = gr.Slider(
minimum=1,
maximum=150,
step=1,
value=default_sampling_steps,
label="Sampling Steps for each outpaint",
)
with gr.Row():
init_image = gr.Image(
type="pil", label="Custom initial image"
)
exit_image = gr.Image(
type="pil", label="Custom exit image", visible=False
)
with gr.Tab("Video"):
video_frame_rate = gr.Slider(
label="Frames per second",
value=30,
minimum=1,
maximum=60,
)
video_zoom_mode = gr.Radio(
label="Zoom mode",
choices=["Zoom-out", "Zoom-in"],
value="Zoom-out",
type="index",
)
video_start_frame_dupe_amount = gr.Slider(
label="number of start frame dupe",
info="Frames to freeze at the start of the video",
value=0,
minimum=1,
maximum=60,
)
video_last_frame_dupe_amount = gr.Slider(
label="number of last frame dupe",
info="Frames to freeze at the end of the video",
value=0,
minimum=1,
maximum=60,
)
video_zoom_speed = gr.Slider(
label="Zoom Speed",
value=1.0,
minimum=0.1,
maximum=20.0,
step=0.1,
info="Zoom speed in seconds (higher values create slower zoom)",
)
with gr.Tab("Outpaint"):
inpainting_mask_blur = gr.Slider(
label="Mask Blur",
minimum=0,
maximum=64,
value=default_mask_blur,
)
inpainting_fill_mode = gr.Radio(
label="Masked content",
choices=["fill", "original", "latent noise", "latent nothing"],
value="latent noise",
type="index",
)
with gr.Tab("Post proccess"):
upscale_do = gr.Checkbox(False, label="Enable Upscale")
upscaler_name = gr.Dropdown(
label="Upscaler",
elem_id="infZ_upscaler",
choices=[x.name for x in shared.sd_upscalers],
value=shared.sd_upscalers[0].name,
)
upscale_by = gr.Slider(
label="Upscale by factor",
minimum=1,
maximum=8,
step=0.5,
value=2,
)
with gr.Accordion("Help", open=False):
gr.Markdown(
"""# Performance critical
Depending on amount of frames and which upscaler you choose it might took a long time to render.
Our best experience and trade-off is the R-ERSGAn4x upscaler.
"""
)
with gr.Column(scale=1, variant="compact"):
output_video = gr.Video(label="Output").style(width=512, height=512)
(
out_image,
generation_info,
html_info,
html_log,
) = create_output_panel(
"infinite-zoom", shared.opts.outdir_img2img_samples
)
generate_btn.click(
fn=wrap_gradio_gpu_call(create_zoom, extra_outputs=[None, "", ""]),
inputs=[
main_common_prompt_pre,
main_prompts,
main_common_prompt_suf,
main_negative_prompt,
main_outpaint_steps,
main_guidance_scale,
sampling_step,
init_image,
exit_image,
video_frame_rate,
video_zoom_mode,
video_start_frame_dupe_amount,
video_last_frame_dupe_amount,
inpainting_mask_blur,
inpainting_fill_mode,
video_zoom_speed,
seed,
main_width,
main_height,
batchcount_slider,
main_sampler,
upscale_do,
upscaler_name,
upscale_by,
],
outputs=[output_video, out_image, generation_info, html_info, html_log],
)
main_prompts.change(
fn=checkPrompts, inputs=[main_prompts], outputs=[generate_btn]
)
interrupt.click(fn=lambda: shared.state.interrupt(), inputs=[], outputs=[])
infinite_zoom_interface.queue()
return [(infinite_zoom_interface, "Infinite Zoom", "iz_interface")]
def checkPrompts(p):
return gr.Button.update(
interactive=any(0 in sublist for sublist in p)
or any("0" in sublist for sublist in p)
)