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Merge pull request #357 from rbertus2000/beta

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fixed img_id for parallel renders
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cmdr2 2022-10-19 09:52:58 +05:30 committed by GitHub
commit b5f6e9d01b
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1 changed files with 4 additions and 2 deletions
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6
ui/sd_internal/runtime.py
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@ -206,6 +206,7 @@ def get_base_path(disk_path, session_id, prompt, img_id, ext, suffix=None):
os.makedirs(session_out_path, exist_ok=True)
prompt_flattened = filename_regex.sub('_', prompt)[:50]
if suffix is not None:
return os.path.join(session_out_path, f"{prompt_flattened}_{img_id}_{suffix}.{ext}")
@ -316,8 +317,7 @@ def do_mk_img(req: Request):
opt_f = 8
opt_ddim_eta = 0.0
opt_init_img = req.init_image
img_id = base64.b64encode(int(time.time()).to_bytes(8, 'big')).decode() # Generate unique ID based on time.
img_id = img_id.translate({43:None, 47:None, 61:None})[-8:] # Remove + / = and keep last 8 chars.
print(req.to_string(), '\n device', device)
@ -462,6 +462,8 @@ def do_mk_img(req: Request):
print("saving images")
for i in range(batch_size):
img_id = base64.b64encode(int(time.time()+i).to_bytes(8, 'big')).decode() # Generate unique ID based on time.
img_id = img_id.translate({43:None, 47:None, 61:None})[-8:] # Remove + / = and keep last 8 chars.
x_samples_ddim = modelFS.decode_first_stage(x_samples[i].unsqueeze(0))
x_sample = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)