Commit
•
bb167dc
0
Parent(s):
Duplicate from santoshtyss/QuickAd
Browse filesCo-authored-by: Santosh T.Y.S.S <santoshtyss@users.noreply.huggingface.co>
- .gitattributes +34 -0
- README.md +14 -0
- app.py +252 -0
- requirements.txt +9 -0
.gitattributes
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
28 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
29 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
30 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
31 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
32 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
33 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
34 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
title: QuickAd
|
3 |
+
emoji: 👀
|
4 |
+
colorFrom: red
|
5 |
+
colorTo: green
|
6 |
+
sdk: gradio
|
7 |
+
sdk_version: 3.10.1
|
8 |
+
app_file: app.py
|
9 |
+
pinned: false
|
10 |
+
license: bigscience-openrail-m
|
11 |
+
duplicated_from: santoshtyss/QuickAd
|
12 |
+
---
|
13 |
+
|
14 |
+
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
app.py
ADDED
@@ -0,0 +1,252 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from transformers import CLIPSegProcessor, CLIPSegForImageSegmentation
|
2 |
+
from diffusers import StableDiffusionInpaintPipeline,StableDiffusionPipeline
|
3 |
+
from PIL import Image
|
4 |
+
import requests
|
5 |
+
|
6 |
+
import cv2
|
7 |
+
import torch
|
8 |
+
import matplotlib.pyplot as plt
|
9 |
+
|
10 |
+
import io
|
11 |
+
import requests
|
12 |
+
from huggingface_hub import login
|
13 |
+
|
14 |
+
import os
|
15 |
+
import streamlit as st
|
16 |
+
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
processor = CLIPSegProcessor.from_pretrained("CIDAS/clipseg-rd64-refined")
|
21 |
+
model = CLIPSegForImageSegmentation.from_pretrained("CIDAS/clipseg-rd64-refined")
|
22 |
+
|
23 |
+
|
24 |
+
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
|
25 |
+
IPmodel_path = "runwayml/stable-diffusion-inpainting"
|
26 |
+
|
27 |
+
IPpipe = StableDiffusionInpaintPipeline.from_pretrained(
|
28 |
+
IPmodel_path,
|
29 |
+
revision="fp16",
|
30 |
+
torch_dtype=torch.float16,
|
31 |
+
use_auth_token= st.secrets["AUTH_TOKEN"]
|
32 |
+
).to(device)
|
33 |
+
|
34 |
+
trans_tokenizer = AutoTokenizer.from_pretrained("facebook/nllb-200-distilled-600M")
|
35 |
+
trans_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M")
|
36 |
+
|
37 |
+
|
38 |
+
SDpipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", revision="fp16", torch_dtype=torch.float16, use_auth_token=st.secrets["AUTH_TOKEN"]).to(device)
|
39 |
+
|
40 |
+
|
41 |
+
def create_mask(image, prompt):
|
42 |
+
inputs = processor(text=[prompt], images=[image], padding="max_length", return_tensors="pt")
|
43 |
+
# predict
|
44 |
+
with torch.no_grad():
|
45 |
+
outputs = model(**inputs)
|
46 |
+
|
47 |
+
preds = outputs.logits
|
48 |
+
|
49 |
+
filename = f"mask.png"
|
50 |
+
plt.imsave(filename,torch.sigmoid(preds))
|
51 |
+
|
52 |
+
gray_image = cv2.cvtColor(cv2.imread(filename), cv2.COLOR_BGR2GRAY)
|
53 |
+
|
54 |
+
(thresh, bw_image) = cv2.threshold(gray_image, 100, 255, cv2.THRESH_BINARY)
|
55 |
+
|
56 |
+
# For debugging only:
|
57 |
+
# cv2.imwrite(filename,bw_image)
|
58 |
+
|
59 |
+
# fix color format
|
60 |
+
cv2.cvtColor(bw_image, cv2.COLOR_BGR2RGB)
|
61 |
+
|
62 |
+
mask = cv2.bitwise_not(bw_image)
|
63 |
+
cv2.imwrite(filename, mask)
|
64 |
+
|
65 |
+
return Image.open('mask.png')
|
66 |
+
|
67 |
+
|
68 |
+
|
69 |
+
|
70 |
+
def generate_image(image, product_name, target_name):
|
71 |
+
mask = create_mask(image, product_name)
|
72 |
+
image = image.resize((512, 512))
|
73 |
+
mask = mask.resize((512,512))
|
74 |
+
guidance_scale=8
|
75 |
+
#guidance_scale=16
|
76 |
+
num_samples = 4
|
77 |
+
|
78 |
+
prompt = target_name
|
79 |
+
generator = torch.Generator(device=device).manual_seed(22) # change the seed to get different results
|
80 |
+
|
81 |
+
im = IPpipe(
|
82 |
+
prompt=prompt,
|
83 |
+
image=image,
|
84 |
+
mask_image=mask,
|
85 |
+
guidance_scale=guidance_scale,
|
86 |
+
generator=generator,
|
87 |
+
).images
|
88 |
+
|
89 |
+
return im
|
90 |
+
|
91 |
+
|
92 |
+
|
93 |
+
def translate_sentence(article, source, target):
|
94 |
+
if target == 'eng_Latn':
|
95 |
+
return article
|
96 |
+
translator = pipeline('translation', model=trans_model, tokenizer=trans_tokenizer, src_lang=source, tgt_lang=target)
|
97 |
+
output = translator(article, max_length=400)
|
98 |
+
output = output[0]['translation_text']
|
99 |
+
return output
|
100 |
+
|
101 |
+
|
102 |
+
codes_as_string = '''Modern Standard Arabic arb_Arab
|
103 |
+
Danish dan_Latn
|
104 |
+
German deu_Latn
|
105 |
+
Greek ell_Grek
|
106 |
+
English eng_Latn
|
107 |
+
Estonian est_Latn
|
108 |
+
Finnish fin_Latn
|
109 |
+
French fra_Latn
|
110 |
+
Hebrew heb_Hebr
|
111 |
+
Hindi hin_Deva
|
112 |
+
Croatian hrv_Latn
|
113 |
+
Hungarian hun_Latn
|
114 |
+
Indonesian ind_Latn
|
115 |
+
Icelandic isl_Latn
|
116 |
+
Italian ita_Latn
|
117 |
+
Japanese jpn_Jpan
|
118 |
+
Korean kor_Hang
|
119 |
+
Luxembourgish ltz_Latn
|
120 |
+
Macedonian mkd_Cyrl
|
121 |
+
Maltese mlt_Latn
|
122 |
+
Dutch nld_Latn
|
123 |
+
Norwegian Bokmål nob_Latn
|
124 |
+
Polish pol_Latn
|
125 |
+
Portuguese por_Latn
|
126 |
+
Russian rus_Cyrl
|
127 |
+
Slovak slk_Latn
|
128 |
+
Slovenian slv_Latn
|
129 |
+
Spanish spa_Latn
|
130 |
+
Serbian srp_Cyrl
|
131 |
+
Swedish swe_Latn
|
132 |
+
Thai tha_Thai
|
133 |
+
Turkish tur_Latn
|
134 |
+
Ukrainian ukr_Cyrl
|
135 |
+
Vietnamese vie_Latn
|
136 |
+
Chinese (Simplified) zho_Hans'''
|
137 |
+
|
138 |
+
codes_as_string = codes_as_string.split('\n')
|
139 |
+
|
140 |
+
flores_codes = {}
|
141 |
+
for code in codes_as_string:
|
142 |
+
lang, lang_code = code.split('\t')
|
143 |
+
flores_codes[lang] = lang_code
|
144 |
+
|
145 |
+
|
146 |
+
|
147 |
+
import gradio as gr
|
148 |
+
import gc
|
149 |
+
gc.collect()
|
150 |
+
|
151 |
+
image_label = 'Please upload the image (optional)'
|
152 |
+
extract_label = 'Specify what need to be extracted from the above image'
|
153 |
+
prompt_label = 'Specify the description of image to be generated'
|
154 |
+
button_label = "Proceed"
|
155 |
+
output_label = "Generations"
|
156 |
+
|
157 |
+
|
158 |
+
shot_services = ['close-up', 'extreme-closeup', 'POV','medium', 'long']
|
159 |
+
shot_label = 'Choose the shot type'
|
160 |
+
|
161 |
+
style_services = ['polaroid', 'monochrome', 'long exposure','color splash', 'Tilt shift']
|
162 |
+
style_label = 'Choose the style type'
|
163 |
+
|
164 |
+
lighting_services = ['soft', 'ambivalent', 'ring','sun', 'cinematic']
|
165 |
+
lighting_label = 'Choose the lighting type'
|
166 |
+
|
167 |
+
context_services = ['indoor', 'outdoor', 'at night','in the park', 'in the beach','studio']
|
168 |
+
context_label = 'Choose the context'
|
169 |
+
|
170 |
+
lens_services = ['wide angle', 'telephoto', '24 mm','EF 70mm', 'Bokeh']
|
171 |
+
lens_label = 'Choose the lens type'
|
172 |
+
|
173 |
+
device_services = ['iphone', 'CCTV', 'Nikon ZFX','Canon', 'Gopro']
|
174 |
+
device_label = 'Choose the device type'
|
175 |
+
|
176 |
+
|
177 |
+
def change_lang(choice):
|
178 |
+
global lang_choice
|
179 |
+
lang_choice = choice
|
180 |
+
new_image_label = translate_sentence(image_label, "english", choice)
|
181 |
+
return [gr.update(visible=True, label=translate_sentence(image_label, flores_codes["English"],flores_codes[choice])),
|
182 |
+
gr.update(visible=True, label=translate_sentence(extract_label, flores_codes["English"],flores_codes[choice])),
|
183 |
+
gr.update(visible=True, label=translate_sentence(prompt_label, flores_codes["English"],flores_codes[choice])),
|
184 |
+
gr.update(visible=True, value=translate_sentence(button_label, flores_codes["English"],flores_codes[choice])),
|
185 |
+
gr.update(visible=True, label=translate_sentence(button_label, flores_codes["English"],flores_codes[choice])),
|
186 |
+
]
|
187 |
+
|
188 |
+
def add_to_prompt(prompt_text,shot_radio, style_radio, lighting_radio, context_radio, lens_radio, device_radio ):
|
189 |
+
if shot_radio != '':
|
190 |
+
prompt_text += ","+shot_radio
|
191 |
+
if style_radio != '':
|
192 |
+
prompt_text += ","+style_radio
|
193 |
+
if lighting_radio != '':
|
194 |
+
prompt_text += ","+lighting_radio
|
195 |
+
if context_radio != '':
|
196 |
+
prompt_text += ","+ context_radio
|
197 |
+
if lens_radio != '':
|
198 |
+
prompt_text += ","+ lens_radio
|
199 |
+
if device_radio != '':
|
200 |
+
prompt_text += ","+ device_radio
|
201 |
+
return prompt_text
|
202 |
+
|
203 |
+
def proceed_with_generation(input_file, extract_text, prompt_text, shot_radio, style_radio, lighting_radio, context_radio, lens_radio, device_radio):
|
204 |
+
if extract_text == "" or input_file == "":
|
205 |
+
translated_prompt = translate_sentence(prompt_text, flores_codes[lang_choice], flores_codes["English"])
|
206 |
+
translated_prompt = add_to_prompt(translated_prompt,shot_radio, style_radio, lighting_radio, context_radio, lens_radio, device_radio)
|
207 |
+
print(translated_prompt)
|
208 |
+
output = SDpipe(translated_prompt, height=512, width=512, num_images_per_prompt=4)
|
209 |
+
return output.images
|
210 |
+
elif extract_text != "" and input_file != "" and prompt_text !='':
|
211 |
+
translated_prompt = translate_sentence(prompt_text, flores_codes[lang_choice], flores_codes["English"])
|
212 |
+
translated_prompt = add_to_prompt(translated_prompt,shot_radio, style_radio, lighting_radio, context_radio, lens_radio, device_radio)
|
213 |
+
print(translated_prompt)
|
214 |
+
translated_extract = translate_sentence(extract_text, flores_codes[lang_choice], flores_codes["English"])
|
215 |
+
print(translated_extract)
|
216 |
+
output = generate_image(Image.fromarray(input_file), translated_extract, translated_prompt)
|
217 |
+
return output
|
218 |
+
else:
|
219 |
+
raise gr.Error("Please fill all details for guided image or atleast promt for free image rendition !")
|
220 |
+
|
221 |
+
|
222 |
+
|
223 |
+
with gr.Blocks() as demo:
|
224 |
+
|
225 |
+
lang_option = gr.Dropdown(list(flores_codes.keys()), default='English', label='Please Select your Language')
|
226 |
+
|
227 |
+
with gr.Row():
|
228 |
+
input_file = gr.Image(interactive = True, label=image_label, visible=False, shape=(512,512))
|
229 |
+
extract_text = gr.Textbox(label= extract_label, lines=1, interactive = True, visible = True)
|
230 |
+
prompt_text = gr.Textbox(label= prompt_label, lines=1, interactive = True, visible = True)
|
231 |
+
|
232 |
+
with gr.Accordion("Advanced Options", open=False):
|
233 |
+
shot_radio = gr.Radio(shot_services , label=shot_label, )
|
234 |
+
style_radio = gr.Radio(style_services , label=style_label)
|
235 |
+
lighting_radio = gr.Radio(lighting_services , label=lighting_label)
|
236 |
+
context_radio = gr.Radio(context_services , label=context_label)
|
237 |
+
lens_radio = gr.Radio(lens_services , label=lens_label)
|
238 |
+
device_radio = gr.Radio(device_services , label=device_label)
|
239 |
+
|
240 |
+
button = gr.Button(value = button_label , visible = False)
|
241 |
+
|
242 |
+
with gr.Row():
|
243 |
+
output_gallery = gr.Gallery(label = output_label, visible= False)
|
244 |
+
|
245 |
+
|
246 |
+
|
247 |
+
|
248 |
+
lang_option.change(fn=change_lang, inputs=lang_option, outputs=[input_file, extract_text, prompt_text, button, output_gallery])
|
249 |
+
button.click( proceed_with_generation, [input_file, extract_text, prompt_text, shot_radio, style_radio, lighting_radio, context_radio, lens_radio, device_radio], [output_gallery])
|
250 |
+
|
251 |
+
|
252 |
+
demo.launch(debug=True)
|
requirements.txt
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
git+https://github.com/huggingface/transformers
|
2 |
+
git+https://github.com/huggingface/diffusers
|
3 |
+
accelerate
|
4 |
+
transformers
|
5 |
+
sentencepiece
|
6 |
+
Pillow
|
7 |
+
gradio
|
8 |
+
torch
|
9 |
+
opencv-python
|