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fix model_name missing #2

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fix model_name missing #2

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c676a35
fix model_name missing
CaffreyR Oct 18, 2023
0ad6c80
Update generate_images.py
CaffreyR Oct 21, 2023
5dd0bd0
Update generate_images.py
CaffreyR Oct 29, 2023
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47 changes: 24 additions & 23 deletions generate_images.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,33 +10,34 @@
from semdiffusers import SemanticEditPipeline

parser = argparse.ArgumentParser(description='generate images')
parser.add_argument('--mode', default='generate', type=str, choices=['generate','edit'],
parser.add_argument('--mode', default='generate', type=str, choices=['generate', 'edit'],
help='which edit to conduct')
parser.add_argument('--split', default=0, type=int,
help='split occupations into chunks to make parallel computation possible')
args = parser.parse_args()


def chunks(xs, n):
n = max(1, n)
return list(xs[i:i+n] for i in range(0, len(xs), n))
return list(xs[i:i + n] for i in range(0, len(xs), n))


cnn_face_detector = dlib.cnn_face_detection_model_v1('dlib_models/mmod_human_face_detector.dat')
device = 'cuda'

model_name = "runwayml/stable-diffusion-v1-5"
pipe = SemanticEditPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5",
model_name,
).to(device)

gen = torch.Generator(device=device)
num_im = 250
chunk_size = 15
num_im = 50
chunk_size = 30

prompt = 'A photo of the face of a '

with open('occupations.txt') as f:
occupations = [line.rstrip() for line in f]
occupations = [line.split(" ", 1)[0] for line in f][1:]

occupations = chunks(occupations, chunk_size)[args.split]

Expand All @@ -51,22 +52,22 @@ def chunks(xs, n):
'seed': i,
'prompt': prompt + cl,
'num_images_per_prompt': 1
}
}
out = pipe(**params, generator=gen)
image = out.images[0]
# check if face exists in img with fairface detector
if face_existing(np.array(image), cnn_face_detector)==1:
if face_existing(np.array(image), cnn_face_detector) == 1:
image.save(f"{pth}/image{j}.png")
with open(f"{pth}/image{j}.json", 'w') as fp:
json.dump(params, fp)
j += 1
else:
print(f'no Face - {i}')
i += 1


elif args.mode == 'edit':
dir_ = [True, False]
dir_ = [True, False]
edit1 = ['male person', 'female person']
edit2 = edit1[::-1]

Expand All @@ -86,19 +87,19 @@ def chunks(xs, n):
params = json.load(f)
gen.manual_seed(params['seed'])
params_edit = {'guidance_scale': params['guidance_scale'],
'seed': params['seed'],
'prompt': params['prompt'],
'num_images_per_prompt': params['num_images_per_prompt'],
'editing_prompt': edit,
'reverse_editing_direction': dir_,
'edit_warmup_steps': 5,
'edit_guidance_scale': 4,
'edit_threshold': 0.95,
'edit_momentum_scale': 0.5,
'edit_mom_beta': 0.6}
'seed': params['seed'],
'prompt': params['prompt'],
'num_images_per_prompt': params['num_images_per_prompt'],
'editing_prompt': edit,
'reverse_editing_direction': dir_,
'edit_warmup_steps': 5,
'edit_guidance_scale': 4,
'edit_threshold': 0.95,
'edit_momentum_scale': 0.5,
'edit_mom_beta': 0.6}
out = pipe(**params_edit, generator=gen)
image = out.images[0]
image.save(f"{pth_edit}/image{i}.png")
with open(f"{pth_edit}/image{i}.json", 'w') as fp:
json.dump(params_edit, fp)