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https://github.com/sd-webui/stable-diffusion-webui.git
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c73fdd78d9
* Implement masking during sampling to improve blending - Almost inpainting-like behaviour - Works best with small erased areas - Denoiser strength to 1 results to completely in-paint with no previous image info - Uncrop kind of sometimes works, but not really - DDIM changes depend on a PR in stable-diffusion core * Remove old init_masking code on save, as the masked image is applied during sampling Co-authored-by: anon-hlhl <> Co-authored-by: hlky <106811348+hlky@users.noreply.github.com>
115 lines
5.0 KiB
Python
115 lines
5.0 KiB
Python
import re
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import gradio as gr
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from PIL import Image, ImageFont, ImageDraw, ImageFilter, ImageOps
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from io import BytesIO
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import base64
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import re
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def change_image_editor_mode(choice, cropped_image, resize_mode, width, height):
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if choice == "Mask":
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return [gr.update(visible=False), gr.update(visible=True), gr.update(visible=False), gr.update(visible=True), gr.update(visible=False), gr.update(visible=True), gr.update(visible=True)]
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return [gr.update(visible=True), gr.update(visible=False), gr.update(visible=True), gr.update(visible=False), gr.update(visible=True), gr.update(visible=False), gr.update(visible=False)]
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def update_image_mask(cropped_image, resize_mode, width, height):
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resized_cropped_image = resize_image(resize_mode, cropped_image, width, height) if cropped_image else None
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return gr.update(value=resized_cropped_image)
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def copy_img_to_input(img):
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try:
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image_data = re.sub('^data:image/.+;base64,', '', img)
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processed_image = Image.open(BytesIO(base64.b64decode(image_data)))
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tab_update = gr.update(selected='img2img_tab')
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img_update = gr.update(value=processed_image)
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return processed_image, processed_image , tab_update
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except IndexError:
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return [None, None]
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def copy_img_to_edit(img):
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try:
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image_data = re.sub('^data:image/.+;base64,', '', img)
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processed_image = Image.open(BytesIO(base64.b64decode(image_data)))
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tab_update = gr.update(selected='img2img_tab')
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img_update = gr.update(value=processed_image)
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mode_update = gr.update(value='Crop')
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return processed_image, tab_update, mode_update
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except IndexError:
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return [None, None]
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def copy_img_to_mask(img):
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try:
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image_data = re.sub('^data:image/.+;base64,', '', img)
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processed_image = Image.open(BytesIO(base64.b64decode(image_data)))
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tab_update = gr.update(selected='img2img_tab')
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img_update = gr.update(value=processed_image)
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mode_update = gr.update(value='Mask')
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return processed_image, tab_update, mode_update
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except IndexError:
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return [None, None]
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def copy_img_to_upscale_esrgan(img):
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tabs_update = gr.update(selected='realesrgan_tab')
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image_data = re.sub('^data:image/.+;base64,', '', img)
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processed_image = Image.open(BytesIO(base64.b64decode(image_data)))
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return processed_image, tabs_update
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help_text = """
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## Mask/Crop
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* Masking is not inpainting. You will probably get better results manually masking your images in photoshop instead.
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* Built-in masking/cropping is very temperamental.
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* It may take some time for the image to show when switching from Crop to Mask.
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* If the image doesn't appear after switching to Mask, switch back to Crop and then back again to Mask
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* If the mask appears distorted (the brush is weirdly shaped instead of round), switch back to Crop and then back again to Mask.
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## Advanced Editor
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* Click 💾 Save to send your editor changes to the img2img workflow
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* Click ❌ Clear to discard your editor changes
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If anything breaks, try switching modes again, switch tabs, clear the image, or reload.
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"""
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def show_help():
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return [gr.update(visible=False), gr.update(visible=True), gr.update(value=help_text)]
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def hide_help():
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return [gr.update(visible=True), gr.update(visible=False), gr.update(value="")]
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def resize_image(resize_mode, im, width, height):
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LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
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if resize_mode == 0:
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res = im.resize((width, height), resample=LANCZOS)
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elif resize_mode == 1:
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ratio = width / height
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src_ratio = im.width / im.height
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src_w = width if ratio > src_ratio else im.width * height // im.height
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src_h = height if ratio <= src_ratio else im.height * width // im.width
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resized = im.resize((src_w, src_h), resample=LANCZOS)
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res = Image.new("RGBA", (width, height))
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res.paste(resized, box=(width // 2 - src_w // 2, height // 2 - src_h // 2))
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else:
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ratio = width / height
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src_ratio = im.width / im.height
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src_w = width if ratio < src_ratio else im.width * height // im.height
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src_h = height if ratio >= src_ratio else im.height * width // im.width
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resized = im.resize((src_w, src_h), resample=LANCZOS)
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res = Image.new("RGBA", (width, height))
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res.paste(resized, box=(width // 2 - src_w // 2, height // 2 - src_h // 2))
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if ratio < src_ratio:
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fill_height = height // 2 - src_h // 2
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res.paste(resized.resize((width, fill_height), box=(0, 0, width, 0)), box=(0, 0))
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res.paste(resized.resize((width, fill_height), box=(0, resized.height, width, resized.height)), box=(0, fill_height + src_h))
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elif ratio > src_ratio:
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fill_width = width // 2 - src_w // 2
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res.paste(resized.resize((fill_width, height), box=(0, 0, 0, height)), box=(0, 0))
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res.paste(resized.resize((fill_width, height), box=(resized.width, 0, resized.width, height)), box=(fill_width + src_w, 0))
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return res
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