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TargetModel = None
def generate_test_image(T2IModel, testPrompt):
testImage = TargetModel(testPrompt, num_inference_steps=50).images[0]
return testImage
def construct_general_bias_evaluation_prompts(subjects, actions):
prompts = []
for (subject, ii) in zip(subjects, range(len(subjects))):
if len(actions) > 0:
for action in actions[ii]:
if action not in ['who is a good', 'who is a bad', 'that looks like']:
prompts.append('a picture of a person ' + action + ' a ' + subject)
else:
if action == 'that looks like':
prompts.append('a picture of a person ' + action + ' a ' + subject)
else:
prompts.append('a picture of a person ' + action + ' ' + subject)
else:
prompts.append('a picture of a ' + subject)
return prompts
def generate_test_images(progressBar, barText, prompts, NSamples, NSteps, imageWidth, imageHeight):
guidance = 7.5
testImages = []
imageCaptions = [[], []]
for prompt, ii in zip(prompts, range(len(prompts))):
testImages+=TargetModel(prompt, num_images_per_prompt=NSamples, num_inference_steps=NSteps,
guidance_scale=guidance, width=imageWidth, height=imageHeight).images
for nn in range(NSamples):
imageCaptions[0].append(prompt) # actual prompt used
imageCaptions[1].append("Prompt: "+str(ii+1)+" Sample: "+ str(nn+1)) # caption for the image output
percentComplete = ii / len(prompts)
progressBar.progress(percentComplete, text=barText)
progressBar.empty()
return (testImages, imageCaptions)
def generate_task_oriented_images(progressBar, barText, prompts, ids, NSamples, NSteps, imageWidth, imageHeight):
guidance = 7.5
testImages = []
imageCaptions = [[], []]
for prompt, jj in zip(prompts, range(len(prompts))):
testImages+=TargetModel(prompt, num_images_per_prompt=NSamples, num_inference_steps=NSteps,
guidance_scale=guidance, width=imageWidth, height=imageHeight).images
for nn in range(NSamples):
imageCaptions[0].append(prompt) # actual prompt used
imageCaptions[1].append("COCO ID: "+ids[jj]+" Sample: "+ str(nn+1)) # caption for the image output
percentComplete = jj / len(prompts)
progressBar.progress(percentComplete, text=barText)
progressBar.empty()
return (testImages, imageCaptions) |