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137 lines
5.1 KiB
Python
137 lines
5.1 KiB
Python
from typing import List
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import gradio as gr
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import modules
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from modules import shared, sd_models
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from modules.shared import opts
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from scripts.faceswaplab_postprocessing.postprocessing_options import InpaintingWhen
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def upscaler_ui() -> List[gr.components.Component]:
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with gr.Tab(f"Post-Processing"):
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gr.Markdown(
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"""Upscaling is performed on the whole image. Upscaling happens before face restoration."""
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)
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with gr.Row():
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face_restorer_name = gr.Radio(
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label="Restore Face",
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choices=["None"] + [x.name() for x in shared.face_restorers],
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value=lambda: opts.data.get(
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"faceswaplab_pp_default_face_restorer",
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shared.face_restorers[0].name(),
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),
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type="value",
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elem_id="faceswaplab_pp_face_restorer",
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)
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with gr.Column():
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face_restorer_visibility = gr.Slider(
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0,
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1,
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value=lambda: opts.data.get(
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"faceswaplab_pp_default_face_restorer_visibility", 1
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),
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step=0.001,
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label="Restore visibility",
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elem_id="faceswaplab_pp_face_restorer_visibility",
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)
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codeformer_weight = gr.Slider(
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0,
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1,
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value=lambda: opts.data.get(
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"faceswaplab_pp_default_face_restorer_weight", 1
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),
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step=0.001,
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label="codeformer weight",
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elem_id="faceswaplab_pp_face_restorer_weight",
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)
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upscaler_name = gr.Dropdown(
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choices=[upscaler.name for upscaler in shared.sd_upscalers],
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value=lambda: opts.data.get("faceswaplab_pp_default_upscaler", "None"),
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label="Upscaler",
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elem_id="faceswaplab_pp_upscaler",
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)
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upscaler_scale = gr.Slider(
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1,
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8,
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1,
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step=0.1,
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label="Upscaler scale",
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elem_id="faceswaplab_pp_upscaler_scale",
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)
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upscaler_visibility = gr.Slider(
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0,
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1,
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value=lambda: opts.data.get(
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"faceswaplab_pp_default_upscaler_visibility", 1
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),
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step=0.1,
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label="Upscaler visibility (if scale = 1)",
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elem_id="faceswaplab_pp_upscaler_visibility",
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)
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with gr.Accordion(f"Post Inpainting", open=True):
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gr.Markdown(
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"""Inpainting sends image to inpainting with a mask on face (once for each faces)."""
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)
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inpainting_when = gr.Dropdown(
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elem_id="faceswaplab_pp_inpainting_when",
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choices=[e.value for e in InpaintingWhen.__members__.values()],
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value=[InpaintingWhen.BEFORE_RESTORE_FACE.value],
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label="Enable/When",
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)
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inpainting_denoising_strength = gr.Slider(
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0,
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1,
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0,
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step=0.01,
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elem_id="faceswaplab_pp_inpainting_denoising_strength",
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label="Denoising strenght (will send face to img2img after processing)",
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)
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inpainting_denoising_prompt = gr.Textbox(
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"Portrait of a [gender]",
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elem_id="faceswaplab_pp_inpainting_denoising_prompt",
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label="Inpainting prompt use [gender] instead of men or woman",
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)
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inpainting_denoising_negative_prompt = gr.Textbox(
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"",
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elem_id="faceswaplab_pp_inpainting_denoising_neg_prompt",
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label="Inpainting negative prompt use [gender] instead of men or woman",
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)
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with gr.Row():
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samplers_names = [s.name for s in modules.sd_samplers.all_samplers]
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inpainting_sampler = gr.Dropdown(
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choices=samplers_names,
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value=[samplers_names[0]],
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label="Inpainting Sampler",
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elem_id="faceswaplab_pp_inpainting_sampler",
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)
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inpainting_denoising_steps = gr.Slider(
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1,
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150,
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20,
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step=1,
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label="Inpainting steps",
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elem_id="faceswaplab_pp_inpainting_steps",
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)
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inpaiting_model = gr.Dropdown(
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choices=["Current"] + sd_models.checkpoint_tiles(),
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default="Current",
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label="sd model (experimental)",
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elem_id="faceswaplab_pp_inpainting_sd_model",
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)
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return [
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face_restorer_name,
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face_restorer_visibility,
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codeformer_weight,
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upscaler_name,
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upscaler_scale,
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upscaler_visibility,
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inpainting_denoising_strength,
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inpainting_denoising_prompt,
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inpainting_denoising_negative_prompt,
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inpainting_denoising_steps,
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inpainting_sampler,
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inpainting_when,
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inpaiting_model,
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]
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