1inkusFace commited on
Commit
4f48370
·
verified ·
1 Parent(s): 221091b

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +8 -9
app.py CHANGED
@@ -275,7 +275,7 @@ def captioning(img):
275
  '''
276
  generated_ids = model5.generate(
277
  **inputsa,
278
- do_sample=text_decoding_method == "Nucleus sampling",
279
  num_beams=1,
280
  max_length=128,
281
  min_length=64,
@@ -284,7 +284,6 @@ def captioning(img):
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  length_penalty=2.0,
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  temperature=0.5,
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  )
287
-
288
 
289
  generated_text = processor5.batch_decode(generated_ids, skip_special_tokens=True)[0].strip()
290
  generated_text = generated_text.replace(cap_prompt, "").strip() #Or could try .split(prompt, 1)[-1].strip()
@@ -296,7 +295,7 @@ def captioning(img):
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  #with torch.no_grad():
297
  generated_ids = model5.generate(
298
  **inputs,
299
- do_sample=text_decoding_method == "Nucleus sampling",
300
  num_beams=1,
301
  max_length=64,
302
  #min_length=16,
@@ -316,7 +315,7 @@ def captioning(img):
316
  ).to('cuda')
317
  generated_ids = model5.generate(
318
  **inputf,
319
- do_sample=text_decoding_method == "Nucleus sampling",
320
  num_beams=1,
321
  max_length=96,
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  min_length=64,
@@ -427,35 +426,35 @@ def generate_30(
427
  generator = torch.Generator(device='cuda').manual_seed(seed)
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  if latent_file is not None: # Check if a latent file is provided
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  sd_image_a = Image.open(latent_file.name).convert('RGB')
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- sd_image_a.resize((224,224), Image.LANCZOS)
431
  #sd_image_a.resize((height,width), Image.LANCZOS)
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  caption=[]
433
  caption.append(captioning(sd_image_a))
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  if latent_file_2 is not None: # Check if a latent file is provided
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  sd_image_b = Image.open(latent_file_2.name).convert('RGB')
436
  #sd_image_b.resize((height,width), Image.LANCZOS)
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- sd_image_b.resize((224,224), Image.LANCZOS)
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  caption.append(captioning(sd_image_b))
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  else:
440
  sd_image_b = None
441
  if latent_file_3 is not None: # Check if a latent file is provided
442
  sd_image_c = Image.open(latent_file_3.name).convert('RGB')
443
  #sd_image_c.resize((height,width), Image.LANCZOS)
444
- sd_image_c.resize((224,224), Image.LANCZOS)
445
  caption.append(captioning(sd_image_c))
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  else:
447
  sd_image_c = None
448
  if latent_file_4 is not None: # Check if a latent file is provided
449
  sd_image_d = Image.open(latent_file_4.name).convert('RGB')
450
  #sd_image_d.resize((height,width), Image.LANCZOS)
451
- sd_image_d.resize((224,224), Image.LANCZOS)
452
  caption.append(captioning(sd_image_d))
453
  else:
454
  sd_image_d = None
455
  if latent_file_5 is not None: # Check if a latent file is provided
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  sd_image_e = Image.open(latent_file_5.name).convert('RGB')
457
  #sd_image_e.resize((height,width), Image.LANCZOS)
458
- sd_image_e.resize((224,224), Image.LANCZOS)
459
  caption.append(captioning(sd_image_e))
460
  else:
461
  sd_image_e = None
 
275
  '''
276
  generated_ids = model5.generate(
277
  **inputsa,
278
+ text_decoding_method == "Nucleus sampling",
279
  num_beams=1,
280
  max_length=128,
281
  min_length=64,
 
284
  length_penalty=2.0,
285
  temperature=0.5,
286
  )
 
287
 
288
  generated_text = processor5.batch_decode(generated_ids, skip_special_tokens=True)[0].strip()
289
  generated_text = generated_text.replace(cap_prompt, "").strip() #Or could try .split(prompt, 1)[-1].strip()
 
295
  #with torch.no_grad():
296
  generated_ids = model5.generate(
297
  **inputs,
298
+ text_decoding_method == "Nucleus sampling",
299
  num_beams=1,
300
  max_length=64,
301
  #min_length=16,
 
315
  ).to('cuda')
316
  generated_ids = model5.generate(
317
  **inputf,
318
+ text_decoding_method == "Nucleus sampling",
319
  num_beams=1,
320
  max_length=96,
321
  min_length=64,
 
426
  generator = torch.Generator(device='cuda').manual_seed(seed)
427
  if latent_file is not None: # Check if a latent file is provided
428
  sd_image_a = Image.open(latent_file.name).convert('RGB')
429
+ sd_image_a.resize((768,768), Image.LANCZOS)
430
  #sd_image_a.resize((height,width), Image.LANCZOS)
431
  caption=[]
432
  caption.append(captioning(sd_image_a))
433
  if latent_file_2 is not None: # Check if a latent file is provided
434
  sd_image_b = Image.open(latent_file_2.name).convert('RGB')
435
  #sd_image_b.resize((height,width), Image.LANCZOS)
436
+ sd_image_b.resize((768,768), Image.LANCZOS)
437
  caption.append(captioning(sd_image_b))
438
  else:
439
  sd_image_b = None
440
  if latent_file_3 is not None: # Check if a latent file is provided
441
  sd_image_c = Image.open(latent_file_3.name).convert('RGB')
442
  #sd_image_c.resize((height,width), Image.LANCZOS)
443
+ sd_image_c.resize((768,768), Image.LANCZOS)
444
  caption.append(captioning(sd_image_c))
445
  else:
446
  sd_image_c = None
447
  if latent_file_4 is not None: # Check if a latent file is provided
448
  sd_image_d = Image.open(latent_file_4.name).convert('RGB')
449
  #sd_image_d.resize((height,width), Image.LANCZOS)
450
+ sd_image_d.resize((768,768), Image.LANCZOS)
451
  caption.append(captioning(sd_image_d))
452
  else:
453
  sd_image_d = None
454
  if latent_file_5 is not None: # Check if a latent file is provided
455
  sd_image_e = Image.open(latent_file_5.name).convert('RGB')
456
  #sd_image_e.resize((height,width), Image.LANCZOS)
457
+ sd_image_e.resize((768,768), Image.LANCZOS)
458
  caption.append(captioning(sd_image_e))
459
  else:
460
  sd_image_e = None