[Feature Request] Save defaults for extras & keep image parameters after using extras #251

This commit is contained in:
AUTOMATIC 2022-09-11 11:31:16 +03:00
parent 2e6153e343
commit f185874418
4 changed files with 94 additions and 83 deletions

87
modules/extras.py Normal file
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@ -0,0 +1,87 @@
import numpy as np
from PIL import Image
from modules import processing, shared, images
from modules.shared import opts
import modules.gfpgan_model
from modules.ui import plaintext_to_html
import modules.codeformer_model
cached_images = {}
def run_extras(image, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility):
processing.torch_gc()
image = image.convert("RGB")
info = ""
outpath = opts.outdir_samples or opts.outdir_extras_samples
if gfpgan_visibility > 0:
restored_img = modules.gfpgan_model.gfpgan_fix_faces(np.array(image, dtype=np.uint8))
res = Image.fromarray(restored_img)
if gfpgan_visibility < 1.0:
res = Image.blend(image, res, gfpgan_visibility)
info += f"GFPGAN visibility:{round(gfpgan_visibility, 2)}\n"
image = res
if codeformer_visibility > 0:
restored_img = modules.codeformer_model.codeformer.restore(np.array(image, dtype=np.uint8), w=codeformer_weight)
res = Image.fromarray(restored_img)
if codeformer_visibility < 1.0:
res = Image.blend(image, res, codeformer_visibility)
info += f"CodeFormer w: {round(codeformer_weight, 2)}, CodeFormer visibility:{round(codeformer_visibility)}\n"
image = res
if upscaling_resize != 1.0:
def upscale(image, scaler_index, resize):
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
c = cached_images.get(key)
if c is None:
upscaler = shared.sd_upscalers[scaler_index]
c = upscaler.upscale(image, image.width * resize, image.height * resize)
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)
if extras_upscaler_2 != 0 and extras_upscaler_2_visibility > 0:
res2 = upscale(image, extras_upscaler_2, upscaling_resize)
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)
image = res
while len(cached_images) > 2:
del cached_images[next(iter(cached_images.keys()))]
images.save_image(image, outpath, "", None, info=info, extension=opts.samples_format, short_filename=True, no_prompt=True, pnginfo_section_name="extras")
return image, plaintext_to_html(info), ''
def run_pnginfo(image):
info = ''
for key, text in image.info.items():
info += f"""
<div>
<p><b>{plaintext_to_html(str(key))}</b></p>
<p>{plaintext_to_html(str(text))}</p>
</div>
""".strip()+"\n"
if len(info) == 0:
message = "Nothing found in the image."
info = f"<div><p>{message}<p></div>"
return '', '', info

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@ -243,7 +243,7 @@ def sanitize_filename_part(text):
return text.replace(' ', '_').translate({ord(x): '' for x in invalid_filename_chars})[:128]
def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False):
def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, pnginfo_section_name='parameters'):
# would be better to add this as an argument in future, but will do for now
is_a_grid = basename != ""
@ -256,7 +256,7 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
if extension == 'png' and opts.enable_pnginfo and info is not None:
pnginfo = PngImagePlugin.PngInfo()
pnginfo.add_text("parameters", info)
pnginfo.add_text(pnginfo_section_name, info)
else:
pnginfo = None

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@ -797,6 +797,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
visit(txt2img_interface, loadsave, "txt2img")
visit(img2img_interface, loadsave, "img2img")
visit(extras_interface, loadsave, "extras")
if not error_loading and (not os.path.exists(ui_config_file) or settings_count != len(ui_settings)):
with open(ui_config_file, "w", encoding="utf8") as file:

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@ -4,9 +4,7 @@ import threading
from modules.paths import script_path
import torch
import numpy as np
from omegaconf import OmegaConf
from PIL import Image
import signal
@ -15,16 +13,14 @@ from ldm.util import instantiate_from_config
from modules.shared import opts, cmd_opts, state
import modules.shared as shared
import modules.ui
from modules.ui import plaintext_to_html
import modules.scripts
import modules.processing as processing
import modules.sd_hijack
import modules.codeformer_model
import modules.gfpgan_model
import modules.face_restoration
import modules.realesrgan_model as realesrgan
import modules.esrgan_model as esrgan
import modules.images as images
import modules.extras
import modules.lowvram
import modules.txt2img
import modules.img2img
@ -56,80 +52,6 @@ def load_model_from_config(config, ckpt, verbose=False):
model.eval()
return model
cached_images = {}
def run_extras(image, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility):
processing.torch_gc()
image = image.convert("RGB")
outpath = opts.outdir_samples or opts.outdir_extras_samples
if gfpgan_visibility > 0:
restored_img = modules.gfpgan_model.gfpgan_fix_faces(np.array(image, dtype=np.uint8))
res = Image.fromarray(restored_img)
if gfpgan_visibility < 1.0:
res = Image.blend(image, res, gfpgan_visibility)
image = res
if codeformer_visibility > 0:
restored_img = modules.codeformer_model.codeformer.restore(np.array(image, dtype=np.uint8), w=codeformer_weight)
res = Image.fromarray(restored_img)
if codeformer_visibility < 1.0:
res = Image.blend(image, res, codeformer_visibility)
image = res
if upscaling_resize != 1.0:
def upscale(image, scaler_index, resize):
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
c = cached_images.get(key)
if c is None:
upscaler = shared.sd_upscalers[scaler_index]
c = upscaler.upscale(image, image.width * resize, image.height * resize)
cached_images[key] = c
return c
res = upscale(image, extras_upscaler_1, upscaling_resize)
if extras_upscaler_2 != 0 and extras_upscaler_2_visibility>0:
res2 = upscale(image, extras_upscaler_2, upscaling_resize)
res = Image.blend(res, res2, extras_upscaler_2_visibility)
image = res
while len(cached_images) > 2:
del cached_images[next(iter(cached_images.keys()))]
images.save_image(image, outpath, "", None, '', opts.samples_format, short_filename=True, no_prompt=True)
return image, '', ''
def run_pnginfo(image):
info = ''
for key, text in image.info.items():
info += f"""
<div>
<p><b>{plaintext_to_html(str(key))}</b></p>
<p>{plaintext_to_html(str(text))}</p>
</div>
""".strip()+"\n"
if len(info) == 0:
message = "Nothing found in the image."
info = f"<div><p>{message}<p></div>"
return '', '', info
queue_lock = threading.Lock()
@ -153,6 +75,7 @@ def wrap_gradio_gpu_call(func):
return modules.ui.wrap_gradio_call(f)
modules.scripts.load_scripts(os.path.join(script_path, "scripts"))
try:
@ -187,8 +110,8 @@ def webui():
demo = modules.ui.create_ui(
txt2img=wrap_gradio_gpu_call(modules.txt2img.txt2img),
img2img=wrap_gradio_gpu_call(modules.img2img.img2img),
run_extras=wrap_gradio_gpu_call(run_extras),
run_pnginfo=run_pnginfo
run_extras=wrap_gradio_gpu_call(modules.extras.run_extras),
run_pnginfo=modules.extras.run_pnginfo
)
demo.launch(share=cmd_opts.share, server_name="0.0.0.0" if cmd_opts.listen else None, server_port=cmd_opts.port)