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Merge pull request #61 from cmdr2/develop
Shorter filenames for saved images; Don't crash other images if one fails to save
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commit
15da928655
@ -1,4 +1,5 @@
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import os, re
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import traceback
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import torch
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import numpy as np
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from omegaconf import OmegaConf
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@ -28,7 +29,7 @@ import base64
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from io import BytesIO
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# local
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session_id = str(uuid.uuid4())
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session_id = str(uuid.uuid4())[-8:]
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ckpt = None
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model = None
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@ -188,7 +189,7 @@ def mk_img(req: Request):
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print(f"target t_enc is {t_enc} steps")
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if opt_save_to_disk_path is not None:
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session_out_path = os.path.join(opt_save_to_disk_path, 'session-' + session_id)
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session_out_path = os.path.join(opt_save_to_disk_path, session_id)
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os.makedirs(session_out_path, exist_ok=True)
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else:
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session_out_path = None
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@ -198,9 +199,6 @@ def mk_img(req: Request):
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for n in trange(opt_n_iter, desc="Sampling"):
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for prompts in tqdm(data, desc="data"):
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if opt_save_to_disk_path is not None:
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base_count = len(os.listdir(session_out_path))
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with precision_scope("cuda"):
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modelCS.to(device)
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uc = None
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@ -242,19 +240,23 @@ def mk_img(req: Request):
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res.images.append(ResponseImage(data=img_data, seed=opt_seed))
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if opt_save_to_disk_path is not None:
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prompt_flattened = "_".join(re.split(":| ", prompts[0]))
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prompt_flattened = prompt_flattened[:150]
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try:
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prompt_flattened = "_".join(re.split(":| ", prompts[0]))
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prompt_flattened = prompt_flattened.replace(',', '')
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prompt_flattened = prompt_flattened[:50]
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file_path = f"sd_{prompt_flattened}_Seed-{opt_seed}_Steps-{opt_ddim_steps}_Guidance-{opt_scale}_{base_count:05}"
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img_out_path = os.path.join(session_out_path, f"{file_path}.{opt_format}")
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meta_out_path = os.path.join(session_out_path, f"{file_path}.txt")
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img_id = str(uuid.uuid4())[-8:]
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metadata = f"{prompts[0]}\nSeed: {opt_seed}\nSteps: {opt_ddim_steps}\nGuidance Scale: {opt_scale}"
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img.save(img_out_path)
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with open(meta_out_path, 'w') as f:
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f.write(metadata)
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file_path = f"{prompt_flattened}_{img_id}"
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img_out_path = os.path.join(session_out_path, f"{file_path}.{opt_format}")
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meta_out_path = os.path.join(session_out_path, f"{file_path}.txt")
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base_count += 1
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metadata = f"{prompts[0]}\nWidth: {opt_W}\nHeight: {opt_H}\nSeed: {opt_seed}\nSteps: {opt_ddim_steps}\nGuidance Scale: {opt_scale}"
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img.save(img_out_path)
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with open(meta_out_path, 'w') as f:
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f.write(metadata)
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except:
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print('could not save the file', traceback.format_exc())
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seeds += str(opt_seed) + ","
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opt_seed += 1
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