From f1858744189ad54bb464c97b9c735275795a6f53 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sun, 11 Sep 2022 11:31:16 +0300
Subject:  [Feature Request] Save defaults for extras & keep image parameters
 after using extras #251

---
 modules/extras.py | 87 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 87 insertions(+)
 create mode 100644 modules/extras.py

(limited to 'modules/extras.py')

diff --git a/modules/extras.py b/modules/extras.py
new file mode 100644
index 00000000..6aeae6cb
--- /dev/null
+++ b/modules/extras.py
@@ -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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