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generate_script.py
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generate_script.py
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import time
from pathlib import Path
from docarray import DocumentArray
from jina import Client, Document
import hubble
object_style_identifier = 'sks'
prompt = f'a {object_style_identifier}'
# 'private' for using private model, 'meta' for using metamodel, 'pretrained' for using pretrained model
target_model = 'private'
num_images = 10
client = Client(host='grpc://87.191.159.105:51111')
# update prompt with category of used identifiers
identifier_n_categories = client.post(
on='/list_identifiers_n_categories',
parameters={
'jwt': {
'token': hubble.get_token(),
},
}
)
identifier_n_categories = identifier_n_categories[0].tags[target_model]
for _identifier, _category in identifier_n_categories.items():
prompt = prompt.replace(_identifier, f"{_identifier} {_category}")
# generate images
folder_images_prefix = 'generated_images'
if target_model == 'private':
folder_images_prefix += f'/{object_style_identifier}'
elif target_model == 'meta':
folder_images_prefix += f'/metamodel'
elif target_model == 'pretrained':
folder_images_prefix += f'/pretrained'
elif target_model == 'private_meta':
folder_images_prefix += f'/private_metamodel'
else:
raise ValueError(f"Unknown target_model '{target_model}'")
folder_images = Path(f"{folder_images_prefix}/{prompt.replace(' ', '-').replace(',', '')}")
folder_images = Path(f"{str(folder_images)[:200]}-{time.time()}")
image_docs: DocumentArray = client.post(
on='/generate',
inputs=Document(text=prompt),
parameters={
'jwt': {
'token': hubble.get_token(),
},
'identifier': object_style_identifier,
'target_model': target_model,
'num_images': num_images,
}
)
folder_images.mkdir(exist_ok=True, parents=True)
for i, image_doc in enumerate(image_docs[0].chunks):
image_doc.save_blob_to_file(f"{str(folder_images)}/generation-{i}.png")
print(f"Generations were successful and were saved to {folder_images}")