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Update utils.py
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utils.py
CHANGED
@@ -11,6 +11,9 @@ from PIL import Image
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from dalle.models import Dalle
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from dalle.utils.utils import set_seed, clip_score
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import streamlit.components.v1 as components
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def link(link, text, **style):
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return a(_href=link, _target="_blank", style=styles(**style))(text)
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@@ -21,7 +24,7 @@ def layout(*args):
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<style>
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# MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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.stApp { bottom:
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</style>
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"""
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@@ -91,10 +94,42 @@ def footer():
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gtag('config', 'G-SB6NJ9DQS7');
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</script>
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"""
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)
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model = False
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def generate(prompt,crazy,k):
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global model
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@@ -116,7 +151,7 @@ def generate(prompt,crazy,k):
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newPrompt += " architecture"
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images = model.sampling(prompt=newPrompt,
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top_k=
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top_p=None,
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softmax_temperature=crazy,
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num_candidates=num_candidates,
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@@ -137,12 +172,11 @@ def generate(prompt,crazy,k):
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item = {}
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item['prompt'] = prompt
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item['crazy'] = crazy
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item['k'] =
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item['image'] = Image.fromarray((result*255).astype(np.uint8))
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st.session_state.results.append(item)
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def drawGrid():
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master = {}
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from dalle.models import Dalle
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from dalle.utils.utils import set_seed, clip_score
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import streamlit.components.v1 as components
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import torch
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from IPython.display import display
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import random
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def link(link, text, **style):
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return a(_href=link, _target="_blank", style=styles(**style))(text)
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<style>
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# MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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.stApp { bottom: 125px; }
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</style>
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"""
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gtag('config', 'G-SB6NJ9DQS7');
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</script>
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"""
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from min_dalle import MinDalle
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def generate2(prompt,crazy,k):
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mm = MinDalle(
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models_root='./pretrained',
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dtype=torch.float32,
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device='cpu',
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is_mega=False,
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is_reusable=True
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)
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image = mm.generate_image(
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text=prompt,
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seed=np.random.randint(0,10000),
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grid_size=1,
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is_seamless=False,
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temperature=crazy,
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top_k=k,#2128,
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supercondition_factor=32,
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is_verbose=False
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)
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item = {}
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item['prompt'] = prompt
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item['crazy'] = crazy
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item['k'] = k
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item['image'] = image
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st.session_state.results.append(item)
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model = False
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def generate(prompt,crazy,k):
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global model
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newPrompt += " architecture"
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images = model.sampling(prompt=newPrompt,
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top_k=256,
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top_p=None,
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softmax_temperature=crazy,
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num_candidates=num_candidates,
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item = {}
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item['prompt'] = prompt
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item['crazy'] = crazy
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item['k'] = 20
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item['image'] = Image.fromarray((result*255).astype(np.uint8))
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st.session_state.results.append(item)
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def drawGrid():
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master = {}
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