mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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65 lines
3.1 KiB
Python
65 lines
3.1 KiB
Python
from PIL import Image
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from modules import scripts_postprocessing, ui_components
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import gradio as gr
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def center_crop(image: Image, w: int, h: int):
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iw, ih = image.size
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if ih / h < iw / w:
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sw = w * ih / h
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box = (iw - sw) / 2, 0, iw - (iw - sw) / 2, ih
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else:
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sh = h * iw / w
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box = 0, (ih - sh) / 2, iw, ih - (ih - sh) / 2
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return image.resize((w, h), Image.Resampling.LANCZOS, box)
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def multicrop_pic(image: Image, mindim, maxdim, minarea, maxarea, objective, threshold):
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iw, ih = image.size
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err = lambda w, h: 1 - (lambda x: x if x < 1 else 1 / x)(iw / ih / (w / h))
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wh = max(((w, h) for w in range(mindim, maxdim + 1, 64) for h in range(mindim, maxdim + 1, 64)
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if minarea <= w * h <= maxarea and err(w, h) <= threshold),
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key=lambda wh: (wh[0] * wh[1], -err(*wh))[::1 if objective == 'Maximize area' else -1],
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default=None
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)
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return wh and center_crop(image, *wh)
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class ScriptPostprocessingAutosizedCrop(scripts_postprocessing.ScriptPostprocessing):
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name = "Auto-sized crop"
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order = 4020
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def ui(self):
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with ui_components.InputAccordion(False, label="Auto-sized crop") as enable:
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gr.Markdown('Each image is center-cropped with an automatically chosen width and height.')
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with gr.Row():
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mindim = gr.Slider(minimum=64, maximum=2048, step=8, label="Dimension lower bound", value=384, elem_id="postprocess_multicrop_mindim")
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maxdim = gr.Slider(minimum=64, maximum=2048, step=8, label="Dimension upper bound", value=768, elem_id="postprocess_multicrop_maxdim")
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with gr.Row():
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minarea = gr.Slider(minimum=64 * 64, maximum=2048 * 2048, step=1, label="Area lower bound", value=64 * 64, elem_id="postprocess_multicrop_minarea")
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maxarea = gr.Slider(minimum=64 * 64, maximum=2048 * 2048, step=1, label="Area upper bound", value=640 * 640, elem_id="postprocess_multicrop_maxarea")
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with gr.Row():
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objective = gr.Radio(["Maximize area", "Minimize error"], value="Maximize area", label="Resizing objective", elem_id="postprocess_multicrop_objective")
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threshold = gr.Slider(minimum=0, maximum=1, step=0.01, label="Error threshold", value=0.1, elem_id="postprocess_multicrop_threshold")
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return {
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"enable": enable,
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"mindim": mindim,
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"maxdim": maxdim,
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"minarea": minarea,
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"maxarea": maxarea,
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"objective": objective,
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"threshold": threshold,
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}
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def process(self, pp: scripts_postprocessing.PostprocessedImage, enable, mindim, maxdim, minarea, maxarea, objective, threshold):
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if not enable:
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return
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cropped = multicrop_pic(pp.image, mindim, maxdim, minarea, maxarea, objective, threshold)
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if cropped is not None:
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pp.image = cropped
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else:
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print(f"skipped {pp.image.width}x{pp.image.height} image (can't find suitable size within error threshold)")
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