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| author | AUTOMATIC <16777216c@gmail.com> | 2022-09-11 08:31:16 +0000 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2022-09-11 08:31:16 +0000 |
| commit | f1858744189ad54bb464c97b9c735275795a6f53 (patch) | |
| tree | bbe4d85f56aa4d2ef262aada3f06641477bf0faf /modules/extras.py | |
| parent | 2e6153e343e5002b5c161d00a43453400be2d884 (diff) | |
| download | stable-diffusion-webui-gfx803-f1858744189ad54bb464c97b9c735275795a6f53.tar.gz stable-diffusion-webui-gfx803-f1858744189ad54bb464c97b9c735275795a6f53.tar.bz2 stable-diffusion-webui-gfx803-f1858744189ad54bb464c97b9c735275795a6f53.zip | |
[Feature Request] Save defaults for extras & keep image parameters after using extras #251
Diffstat (limited to 'modules/extras.py')
| -rw-r--r-- | modules/extras.py | 87 |
1 files changed, 87 insertions, 0 deletions
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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