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Add EXIF info containing parameters to outputs #65

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Add EXIF info containing parameters to outputs #65

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e6968ff
Add EXIF info to optimized_txt2img.py
TapuCosmo Aug 26, 2022
eacbd85
Add EXIF info to optimized_img2img.py
TapuCosmo Aug 26, 2022
ea64c0c
Merge branch 'main' into exifinfo
TapuCosmo Aug 26, 2022
02f476c
Merge branch 'main' into exifinfo
TapuCosmo Aug 27, 2022
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16 changes: 14 additions & 2 deletions optimizedSD/optimized_img2img.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
import numpy as np
from random import randint
from omegaconf import OmegaConf
from PIL import Image
from PIL import Image, PngImagePlugin
from tqdm import tqdm, trange
from itertools import islice
from einops import rearrange
Expand Down Expand Up @@ -314,8 +314,20 @@ def load_img(path, h0, w0):
x_samples_ddim = modelFS.decode_first_stage(samples_ddim[i].unsqueeze(0))
x_sample = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)
x_sample = 255.0 * rearrange(x_sample[0].cpu().numpy(), "c h w -> h w c")
info = PngImagePlugin.PngInfo()
info.add_text("Init Img", os.path.join(os.path.basename(os.path.dirname(opt.init_img)), os.path.basename(opt.init_img)))
info.add_text("Prompt", opt.prompt)
info.add_text("Seed", str(opt.seed))
info.add_text("Scale", str(opt.scale))
info.add_text("Steps", str(opt.ddim_steps))
info.add_text("Strength", str(opt.strength))
info.add_text("Precision", opt.precision)
info.add_text("Batch Size", str(opt.n_samples))
info.add_text("Batch Index", str(i))
Image.fromarray(x_sample.astype(np.uint8)).save(
os.path.join(sample_path, "seed_" + str(opt.seed) + "_" + f"{base_count:05}.png")
os.path.join(sample_path, "seed_" + str(opt.seed) + "_" + f"{base_count:05}.png"),
"PNG",
pnginfo=info
)
seeds += str(opt.seed) + ","
opt.seed += 1
Expand Down
14 changes: 12 additions & 2 deletions optimizedSD/optimized_txt2img.py
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
import numpy as np
from random import randint
from omegaconf import OmegaConf
from PIL import Image
from PIL import Image, PngImagePlugin
from tqdm import tqdm, trange
from itertools import islice
from einops import rearrange
Expand Down Expand Up @@ -287,8 +287,18 @@ def load_model_from_config(ckpt, verbose=False):
x_samples_ddim = modelFS.decode_first_stage(samples_ddim[i].unsqueeze(0))
x_sample = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)
x_sample = 255.0 * rearrange(x_sample[0].cpu().numpy(), "c h w -> h w c")
info = PngImagePlugin.PngInfo()
info.add_text("Prompt", opt.prompt)
info.add_text("Seed", str(opt.seed))
info.add_text("Scale", str(opt.scale))
info.add_text("Steps", str(opt.ddim_steps))
info.add_text("Precision", opt.precision)
info.add_text("Batch Size", str(opt.n_samples))
info.add_text("Batch Index", str(i))
Image.fromarray(x_sample.astype(np.uint8)).save(
os.path.join(sample_path, "seed_" + str(opt.seed) + "_" + f"{base_count:05}.png")
os.path.join(sample_path, "seed_" + str(opt.seed) + "_" + f"{base_count:05}.png"),
"PNG",
pnginfo=info
)
seeds += str(opt.seed) + ","
opt.seed += 1
Expand Down