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import gradio as gr
from utils import *
import random
is_clicked = False
out_img_list = ['', '', '', '', '']
out_state_list = ['', '', '', '', '']
out_state_list2 = ['', '', '', '', '']
seed_values = [0, 0, 0, 0, 0]
def fn_query_on_load():
return "Cats at sunset"
def fn_refresh():
return out_img_list
with gr.Blocks() as app:
with gr.Row():
gr.Markdown(
"""
# Stable Diffusion Image Generation
### Enter prompt to generate images in various styles
""")
with gr.Row(visible=True):
search_text = gr.Textbox(value=fn_query_on_load, placeholder='Enter image prompt..', label='Enter Image Prompt')
with gr.Tab('Generate Image in various styles'):
with gr.Row():
concept_index = gr.Dropdown(label='Select image style', value='Oil Painting', type="index", choices=['Oil Painting', 'Low Poly HD Style', 'Matrix Style', 'Dreamy Painting', 'Depth Map Style'] )
with gr.Row(visible=True):
out1 = gr.Image(value="out1.png", interactive=False, width=128, height=128, label='Oil Painting')
out2 = gr.Image(value="out2.png", interactive=False, width=128, height=128, label='Low Poly HD Style')
out3 = gr.Image(value="out3.png", interactive=False, width=128, height=128, label='Matrix Style')
out4 = gr.Image(value="out4.png", interactive=False, width=128, height=128, label='Dreamy Painting')
out5 = gr.Image(value="out5.png", interactive=False, width=128, height=128, label='Depth Map Style')
with gr.Row(visible=True):
submit_btn = gr.Button("Submit", variant='primary')
clear_btn = gr.ClearButton()
with gr.Tab("Additional Guidance with Contrast Adjustment"):
with gr.Row():
gr.Markdown(
"""
### Experiment with contrast based additional guidance to view how it affects the output
""")
with gr.Row():
concept_index2 = gr.Dropdown(label='Select image style', value='Oil Painting', type="index", choices=['Oil Painting', 'Low Poly HD Style', 'Matrix Style', 'Dreamy Painting', 'Depth Map Style'] )
contrast_perc = gr.Slider(value=90, minimum=-100, maximum=100, label='Contrast Adjustment')
with gr.Row(visible=True):
out11 = gr.Image(value="out11.png", interactive=False, width=128, height=128, label='Oil Painting')
out12 = gr.Image(value="out12.png", interactive=False, width=128, height=128, label='Low Poly HD Style')
out13 = gr.Image(value="out13.png", interactive=False, width=128, height=128, label='Matrix Style')
out14 = gr.Image(value="out14.png", interactive=False, width=128, height=128, label='Dreamy Painting')
out15 = gr.Image(value="out15.png", interactive=False, width=128, height=128, label='Depth Map Style')
with gr.Row(visible=True):
submit_btn2 = gr.Button("Submit", variant='primary')
clear_btn2 = gr.ClearButton()
def clear_data():
return {
out1: None,
out2: None,
out3: None,
out4: None,
out5: None,
search_text: None
}
def clear_data2():
return {
out11: None,
out12: None,
out13: None,
out14: None,
out15: None
}
clear_btn.click(clear_data, None, [out1, out2, out3, out4, out5, search_text])
clear_btn2.click(clear_data2, None, [out11, out12, out13, out14, out15])
def func_generate(query, concept_idx, seed_start, contrast_loss=False, contrast_perc=None):
prompt = query + ' in the style of bulb'
text_input = tokenizer(prompt, padding="max_length", max_length=tokenizer.model_max_length, truncation=True,
return_tensors="pt")
input_ids = text_input.input_ids.to(torch_device)
# Get token embeddings
position_ids = text_encoder.text_model.embeddings.position_ids[:, :77]
position_embeddings = pos_emb_layer(position_ids)
s = seed_start
token_embeddings = token_emb_layer(input_ids)
# The new embedding - our special birb word
replacement_token_embedding = concept_embeds[concept_idx].to(torch_device)
# Insert this into the token embeddings
token_embeddings[0, torch.where(input_ids[0] == 22373)] = replacement_token_embedding.to(torch_device)
# Combine with pos embs
input_embeddings = token_embeddings + position_embeddings
# Feed through to get final output embs
modified_output_embeddings = get_output_embeds(input_embeddings)
# And generate an image with this:
if contrast_loss and seed_values[concept_idx] > 0:
s = seed_values[concept_idx]
else:
s = random.randint(s + 1, s + 30)
seed_values[concept_idx] = s
g = torch.manual_seed(s)
return generate_with_embs(text_input, modified_output_embeddings, generator=g, contrast_loss=contrast_loss, contrast_perc=contrast_perc)
def generate_image(query, con_idx, o1, o2, o3, o4, o5, contrast):
if not query:
raise gr.Error("No prompt provided")
return {
out1: o1,
out2: o2,
out3: o3,
out4: o4,
out5: o5
}
else:
out = func_generate(query, con_idx, con_idx*30)
out_state_list[con_idx] = query
if con_idx == 0:
return {
out1: out,
out2: None if out_state_list[1] != query else o2,
out3: None if out_state_list[2] != query else o3,
out4: None if out_state_list[3] != query else o4,
out5: None if out_state_list[4] != query else o5
}
elif con_idx == 1:
return {
out1: None if out_state_list[0] != query else o1,
out2: out,
out3: None if out_state_list[2] != query else o2,
out4: None if out_state_list[3] != query else o3,
out5: None if out_state_list[4] != query else o4
}
elif con_idx == 2:
return {
out1: None if out_state_list[0] != query else o1,
out2: None if out_state_list[1] != query else o2,
out3: out,
out4: None if out_state_list[3] != query else o3,
out5: None if out_state_list[4] != query else o4
}
elif con_idx == 3:
return {
out1: None if out_state_list[0] != query else o1,
out2: None if out_state_list[1] != query else o2,
out3: None if out_state_list[2] != query else o3,
out4: out,
out5: None if out_state_list[4] != query else o4
}
elif con_idx == 4:
return {
out1: None if out_state_list[0] != query else o1,
out2: None if out_state_list[1] != query else o2,
out3: None if out_state_list[2] != query else o3,
out4: None if out_state_list[3] != query else o4,
out5: out
}
submit_btn.click(
generate_image,
[search_text, concept_index, out1, out2, out3, out4, out5],
[out1, out2, out3, out4, out5]
)
def generate_image_with_contrast_loss_guidance(query, con_idx, o1, o2, o3, o4, o5, contrast):
if not query:
raise gr.Error("No prompt provided")
return {
out11: o1,
out12: o2,
out13: o3,
out14: o4,
out15: o5
}
else:
out = func_generate(query, con_idx, con_idx*30, contrast_loss=True, contrast_perc=contrast)
out_state_list[con_idx] = query
if con_idx == 0:
return {
out11: out,
out12: None if out_state_list[1] != query else o2,
out13: None if out_state_list[2] != query else o3,
out14: None if out_state_list[3] != query else o4,
out15: None if out_state_list[4] != query else o5
}
elif con_idx == 1:
return {
out11: None if out_state_list[0] != query else o1,
out12: out,
out13: None if out_state_list[2] != query else o2,
out14: None if out_state_list[3] != query else o3,
out15: None if out_state_list[4] != query else o4
}
elif con_idx == 2:
return {
out11: None if out_state_list[0] != query else o1,
out12: None if out_state_list[1] != query else o2,
out13: out,
out14: None if out_state_list[3] != query else o3,
out15: None if out_state_list[4] != query else o4
}
elif con_idx == 3:
return {
out11: None if out_state_list[0] != query else o1,
out12: None if out_state_list[1] != query else o2,
out13: None if out_state_list[2] != query else o3,
out14: out,
out15: None if out_state_list[4] != query else o4
}
elif con_idx == 4:
return {
out11: None if out_state_list[0] != query else o1,
out12: None if out_state_list[1] != query else o2,
out13: None if out_state_list[2] != query else o3,
out14: None if out_state_list[3] != query else o4,
out15: out
}
submit_btn2.click(
generate_image_with_contrast_loss_guidance,
[search_text, concept_index2, out11, out12, out13, out14, out15, contrast_perc],
[out11, out12, out13, out14, out15]
)
'''
Launch the app
'''
app.launch() |