Add "Scale to" option to Extras
This commit is contained in:
parent
45fbd1c5fe
commit
6435691bb1
|
@ -101,7 +101,8 @@ function create_tab_index_args(tabId, args){
|
|||
}
|
||||
|
||||
function get_extras_tab_index(){
|
||||
return create_tab_index_args('mode_extras', arguments)
|
||||
const [,,...args] = [...arguments]
|
||||
return [get_tab_index('mode_extras'), get_tab_index('extras_resize_mode'), ...args]
|
||||
}
|
||||
|
||||
function create_submit_args(args){
|
||||
|
|
|
@ -1,3 +1,4 @@
|
|||
import math
|
||||
import os
|
||||
|
||||
import numpy as np
|
||||
|
@ -19,7 +20,7 @@ import gradio as gr
|
|||
cached_images = {}
|
||||
|
||||
|
||||
def run_extras(extras_mode, image, image_folder, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility):
|
||||
def run_extras(extras_mode, resize_mode, image, image_folder, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility):
|
||||
devices.torch_gc()
|
||||
|
||||
imageArr = []
|
||||
|
@ -67,8 +68,23 @@ def run_extras(extras_mode, image, image_folder, gfpgan_visibility, codeformer_v
|
|||
info += f"CodeFormer w: {round(codeformer_weight, 2)}, CodeFormer visibility:{round(codeformer_visibility, 2)}\n"
|
||||
image = res
|
||||
|
||||
if resize_mode == 1:
|
||||
upscaling_resize = max(upscaling_resize_w/image.width, upscaling_resize_h/image.height)
|
||||
crop_info = " (crop)" if upscaling_crop else ""
|
||||
info += f"Resize to: {upscaling_resize_w:g}x{upscaling_resize_h:g}{crop_info}\n"
|
||||
|
||||
def crop_upscaled_center(image, resize_w, resize_h):
|
||||
left = int(math.ceil((image.width - resize_w) / 2))
|
||||
right = image.width - int(math.floor((image.width - resize_w) / 2))
|
||||
top = int(math.ceil((image.height - resize_h) / 2))
|
||||
bottom = image.height - int(math.floor((image.height - resize_h) / 2))
|
||||
|
||||
image = image.crop((left, top, right, bottom))
|
||||
return image
|
||||
|
||||
|
||||
if upscaling_resize != 1.0:
|
||||
def upscale(image, scaler_index, resize):
|
||||
def upscale(image, scaler_index, resize, mode, resize_w, resize_h, crop):
|
||||
small = image.crop((image.width // 2, image.height // 2, image.width // 2 + 10, image.height // 2 + 10))
|
||||
pixels = tuple(np.array(small).flatten().tolist())
|
||||
key = (resize, scaler_index, image.width, image.height, gfpgan_visibility, codeformer_visibility, codeformer_weight) + pixels
|
||||
|
@ -77,15 +93,17 @@ def run_extras(extras_mode, image, image_folder, gfpgan_visibility, codeformer_v
|
|||
if c is None:
|
||||
upscaler = shared.sd_upscalers[scaler_index]
|
||||
c = upscaler.scaler.upscale(image, resize, upscaler.data_path)
|
||||
if mode == 1 and crop:
|
||||
c = crop_upscaled_center(c, resize_w, resize_h)
|
||||
cached_images[key] = c
|
||||
|
||||
return c
|
||||
|
||||
info += f"Upscale: {round(upscaling_resize, 3)}, model:{shared.sd_upscalers[extras_upscaler_1].name}\n"
|
||||
res = upscale(image, extras_upscaler_1, upscaling_resize)
|
||||
res = upscale(image, extras_upscaler_1, upscaling_resize, resize_mode, upscaling_resize_w, upscaling_resize_h, upscaling_crop)
|
||||
|
||||
if extras_upscaler_2 != 0 and extras_upscaler_2_visibility > 0:
|
||||
res2 = upscale(image, extras_upscaler_2, upscaling_resize)
|
||||
res2 = upscale(image, extras_upscaler_2, upscaling_resize, resize_mode, upscaling_resize_w, upscaling_resize_h, upscaling_crop)
|
||||
info += f"Upscale: {round(upscaling_resize, 3)}, visibility: {round(extras_upscaler_2_visibility, 3)}, model:{shared.sd_upscalers[extras_upscaler_2].name}\n"
|
||||
res = Image.blend(res, res2, extras_upscaler_2_visibility)
|
||||
|
||||
|
@ -190,7 +208,7 @@ def run_modelmerger(primary_model_name, secondary_model_name, interp_method, int
|
|||
theta_0[key] = theta_func(theta_0[key], theta_1[key], (float(1.0) - interp_amount)) # Need to reverse the interp_amount to match the desired mix ration in the merged checkpoint
|
||||
if save_as_half:
|
||||
theta_0[key] = theta_0[key].half()
|
||||
|
||||
|
||||
for key in theta_1.keys():
|
||||
if 'model' in key and key not in theta_0:
|
||||
theta_0[key] = theta_1[key]
|
||||
|
|
|
@ -101,7 +101,7 @@ def send_gradio_gallery_to_image(x):
|
|||
|
||||
|
||||
def save_files(js_data, images, do_make_zip, index):
|
||||
import csv
|
||||
import csv
|
||||
filenames = []
|
||||
fullfns = []
|
||||
|
||||
|
@ -551,7 +551,7 @@ def create_ui(wrap_gradio_gpu_call):
|
|||
|
||||
with gr.Row():
|
||||
do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False)
|
||||
|
||||
|
||||
with gr.Row():
|
||||
download_files = gr.File(None, file_count="multiple", interactive=False, show_label=False, visible=False)
|
||||
|
||||
|
@ -739,7 +739,7 @@ def create_ui(wrap_gradio_gpu_call):
|
|||
|
||||
with gr.Row():
|
||||
do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False)
|
||||
|
||||
|
||||
with gr.Row():
|
||||
download_files = gr.File(None, file_count="multiple", interactive=False, show_label=False, visible=False)
|
||||
|
||||
|
@ -903,7 +903,15 @@ def create_ui(wrap_gradio_gpu_call):
|
|||
with gr.TabItem('Batch Process'):
|
||||
image_batch = gr.File(label="Batch Process", file_count="multiple", interactive=True, type="file")
|
||||
|
||||
upscaling_resize = gr.Slider(minimum=1.0, maximum=4.0, step=0.05, label="Resize", value=2)
|
||||
with gr.Tabs(elem_id="extras_resize_mode"):
|
||||
with gr.TabItem('Scale by'):
|
||||
upscaling_resize = gr.Slider(minimum=1.0, maximum=4.0, step=0.05, label="Resize", value=2)
|
||||
with gr.TabItem('Scale to'):
|
||||
with gr.Group():
|
||||
with gr.Row():
|
||||
upscaling_resize_w = gr.Number(label="Width", value=512)
|
||||
upscaling_resize_h = gr.Number(label="Height", value=512)
|
||||
upscaling_crop = gr.Checkbox(label='Crop to fit', value=True)
|
||||
|
||||
with gr.Group():
|
||||
extras_upscaler_1 = gr.Radio(label='Upscaler 1', choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
|
||||
|
@ -934,6 +942,7 @@ def create_ui(wrap_gradio_gpu_call):
|
|||
fn=wrap_gradio_gpu_call(modules.extras.run_extras),
|
||||
_js="get_extras_tab_index",
|
||||
inputs=[
|
||||
dummy_component,
|
||||
dummy_component,
|
||||
extras_image,
|
||||
image_batch,
|
||||
|
@ -941,6 +950,9 @@ def create_ui(wrap_gradio_gpu_call):
|
|||
codeformer_visibility,
|
||||
codeformer_weight,
|
||||
upscaling_resize,
|
||||
upscaling_resize_w,
|
||||
upscaling_resize_h,
|
||||
upscaling_crop,
|
||||
extras_upscaler_1,
|
||||
extras_upscaler_2,
|
||||
extras_upscaler_2_visibility,
|
||||
|
@ -951,14 +963,14 @@ def create_ui(wrap_gradio_gpu_call):
|
|||
html_info,
|
||||
]
|
||||
)
|
||||
|
||||
|
||||
extras_send_to_img2img.click(
|
||||
fn=lambda x: image_from_url_text(x),
|
||||
_js="extract_image_from_gallery_img2img",
|
||||
inputs=[result_images],
|
||||
outputs=[init_img],
|
||||
)
|
||||
|
||||
|
||||
extras_send_to_inpaint.click(
|
||||
fn=lambda x: image_from_url_text(x),
|
||||
_js="extract_image_from_gallery_img2img",
|
||||
|
@ -1286,7 +1298,7 @@ Requested path was: {f}
|
|||
outputs=[],
|
||||
_js='function(){restart_reload()}'
|
||||
)
|
||||
|
||||
|
||||
if column is not None:
|
||||
column.__exit__()
|
||||
|
||||
|
@ -1318,12 +1330,12 @@ Requested path was: {f}
|
|||
component_dict[k] = component
|
||||
|
||||
settings_interface.gradio_ref = demo
|
||||
|
||||
|
||||
with gr.Tabs() as tabs:
|
||||
for interface, label, ifid in interfaces:
|
||||
with gr.TabItem(label, id=ifid):
|
||||
interface.render()
|
||||
|
||||
|
||||
if os.path.exists(os.path.join(script_path, "notification.mp3")):
|
||||
audio_notification = gr.Audio(interactive=False, value=os.path.join(script_path, "notification.mp3"), elem_id="audio_notification", visible=False)
|
||||
|
||||
|
@ -1456,10 +1468,10 @@ Requested path was: {f}
|
|||
|
||||
if getattr(obj,'custom_script_source',None) is not None:
|
||||
key = 'customscript/' + obj.custom_script_source + '/' + key
|
||||
|
||||
|
||||
if getattr(obj, 'do_not_save_to_config', False):
|
||||
return
|
||||
|
||||
|
||||
saved_value = ui_settings.get(key, None)
|
||||
if saved_value is None:
|
||||
ui_settings[key] = getattr(obj, field)
|
||||
|
@ -1483,10 +1495,10 @@ Requested path was: {f}
|
|||
|
||||
if type(x) == gr.Textbox:
|
||||
apply_field(x, 'value')
|
||||
|
||||
|
||||
if type(x) == gr.Number:
|
||||
apply_field(x, 'value')
|
||||
|
||||
|
||||
visit(txt2img_interface, loadsave, "txt2img")
|
||||
visit(img2img_interface, loadsave, "img2img")
|
||||
visit(extras_interface, loadsave, "extras")
|
||||
|
|
Loading…
Reference in New Issue
Block a user