mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2025-10-31 18:15:16 +00:00
55 lines
2.3 KiB
Python
55 lines
2.3 KiB
Python
|
|
from modules import scripts_postprocessing, ui_components, errors
|
|
import gradio as gr
|
|
|
|
from modules.textual_inversion import autocrop
|
|
|
|
|
|
class ScriptPostprocessingFocalCrop(scripts_postprocessing.ScriptPostprocessing):
|
|
name = "Auto focal point crop"
|
|
order = 4010
|
|
|
|
def ui(self):
|
|
with ui_components.InputAccordion(False, label="Auto focal point crop") as enable:
|
|
face_weight = gr.Slider(label='Focal point face weight', value=0.9, minimum=0.0, maximum=1.0, step=0.05, elem_id="postprocess_focal_crop_face_weight")
|
|
entropy_weight = gr.Slider(label='Focal point entropy weight', value=0.15, minimum=0.0, maximum=1.0, step=0.05, elem_id="postprocess_focal_crop_entropy_weight")
|
|
edges_weight = gr.Slider(label='Focal point edges weight', value=0.5, minimum=0.0, maximum=1.0, step=0.05, elem_id="postprocess_focal_crop_edges_weight")
|
|
debug = gr.Checkbox(label='Create debug image', elem_id="train_process_focal_crop_debug")
|
|
|
|
return {
|
|
"enable": enable,
|
|
"face_weight": face_weight,
|
|
"entropy_weight": entropy_weight,
|
|
"edges_weight": edges_weight,
|
|
"debug": debug,
|
|
}
|
|
|
|
def process(self, pp: scripts_postprocessing.PostprocessedImage, enable, face_weight, entropy_weight, edges_weight, debug):
|
|
if not enable:
|
|
return
|
|
|
|
if not pp.shared.target_width or not pp.shared.target_height:
|
|
return
|
|
|
|
dnn_model_path = None
|
|
try:
|
|
dnn_model_path = autocrop.download_and_cache_models()
|
|
except Exception:
|
|
errors.report("Unable to load face detection model for auto crop selection. Falling back to lower quality haar method.", exc_info=True)
|
|
|
|
autocrop_settings = autocrop.Settings(
|
|
crop_width=pp.shared.target_width,
|
|
crop_height=pp.shared.target_height,
|
|
face_points_weight=face_weight,
|
|
entropy_points_weight=entropy_weight,
|
|
corner_points_weight=edges_weight,
|
|
annotate_image=debug,
|
|
dnn_model_path=dnn_model_path,
|
|
)
|
|
|
|
result, *others = autocrop.crop_image(pp.image, autocrop_settings)
|
|
|
|
pp.image = result
|
|
pp.extra_images = [pp.create_copy(x, nametags=["focal-crop-debug"], disable_processing=True) for x in others]
|
|
|