Update app.py
Browse files
app.py
CHANGED
@@ -1,4 +1,3 @@
|
|
1 |
-
import numpy as np
|
2 |
import gradio as gr
|
3 |
import requests
|
4 |
import time
|
@@ -6,12 +5,11 @@ import json
|
|
6 |
import base64
|
7 |
import os
|
8 |
from io import BytesIO
|
9 |
-
import PIL
|
10 |
-
from PIL.ExifTags import TAGS
|
11 |
import html
|
12 |
import re
|
13 |
|
14 |
|
|
|
15 |
class Prodia:
|
16 |
def __init__(self, api_key, base=None):
|
17 |
self.base = base or "https://api.prodia.com/v1"
|
@@ -83,6 +81,7 @@ def image_to_base64(image):
|
|
83 |
|
84 |
return img_str.decode('utf-8') # Convert bytes to string
|
85 |
|
|
|
86 |
def remove_id_and_ext(text):
|
87 |
text = re.sub(r'\[.*\]$', '', text)
|
88 |
extension = text[-12:].strip()
|
@@ -92,6 +91,7 @@ def remove_id_and_ext(text):
|
|
92 |
text = text[:-4]
|
93 |
return text
|
94 |
|
|
|
95 |
def get_data(text):
|
96 |
results = {}
|
97 |
patterns = {
|
@@ -119,9 +119,10 @@ def get_data(text):
|
|
119 |
results['h'] = None
|
120 |
return results
|
121 |
|
|
|
122 |
def send_to_txt2img(image):
|
123 |
-
|
124 |
-
result = {tabs: gr.
|
125 |
|
126 |
try:
|
127 |
text = image.info['parameters']
|
@@ -142,15 +143,6 @@ def send_to_txt2img(image):
|
|
142 |
|
143 |
except Exception as e:
|
144 |
print(e)
|
145 |
-
result[prompt] = gr.update()
|
146 |
-
result[negative_prompt] = gr.update()
|
147 |
-
result[steps] = gr.update()
|
148 |
-
result[seed] = gr.update()
|
149 |
-
result[cfg_scale] = gr.update()
|
150 |
-
result[width] = gr.update()
|
151 |
-
result[height] = gr.update()
|
152 |
-
result[sampler] = gr.update()
|
153 |
-
result[model] = gr.update()
|
154 |
|
155 |
return result
|
156 |
|
@@ -163,6 +155,7 @@ for model_name in model_list:
|
|
163 |
name_without_ext = remove_id_and_ext(model_name)
|
164 |
model_names[name_without_ext] = model_name
|
165 |
|
|
|
166 |
def txt2img(prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
|
167 |
result = prodia_client.generate({
|
168 |
"prompt": prompt,
|
@@ -180,6 +173,7 @@ def txt2img(prompt, negative_prompt, model, steps, sampler, cfg_scale, width, he
|
|
180 |
|
181 |
return job["imageUrl"]
|
182 |
|
|
|
183 |
def img2img(input_image, denoising, prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
|
184 |
result = prodia_client.transform({
|
185 |
"imageData": image_to_base64(input_image),
|
|
|
|
|
1 |
import gradio as gr
|
2 |
import requests
|
3 |
import time
|
|
|
5 |
import base64
|
6 |
import os
|
7 |
from io import BytesIO
|
|
|
|
|
8 |
import html
|
9 |
import re
|
10 |
|
11 |
|
12 |
+
|
13 |
class Prodia:
|
14 |
def __init__(self, api_key, base=None):
|
15 |
self.base = base or "https://api.prodia.com/v1"
|
|
|
81 |
|
82 |
return img_str.decode('utf-8') # Convert bytes to string
|
83 |
|
84 |
+
|
85 |
def remove_id_and_ext(text):
|
86 |
text = re.sub(r'\[.*\]$', '', text)
|
87 |
extension = text[-12:].strip()
|
|
|
91 |
text = text[:-4]
|
92 |
return text
|
93 |
|
94 |
+
|
95 |
def get_data(text):
|
96 |
results = {}
|
97 |
patterns = {
|
|
|
119 |
results['h'] = None
|
120 |
return results
|
121 |
|
122 |
+
|
123 |
def send_to_txt2img(image):
|
124 |
+
|
125 |
+
result = {tabs: gr.update(selected="t2i")}
|
126 |
|
127 |
try:
|
128 |
text = image.info['parameters']
|
|
|
143 |
|
144 |
except Exception as e:
|
145 |
print(e)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
146 |
|
147 |
return result
|
148 |
|
|
|
155 |
name_without_ext = remove_id_and_ext(model_name)
|
156 |
model_names[name_without_ext] = model_name
|
157 |
|
158 |
+
|
159 |
def txt2img(prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
|
160 |
result = prodia_client.generate({
|
161 |
"prompt": prompt,
|
|
|
173 |
|
174 |
return job["imageUrl"]
|
175 |
|
176 |
+
|
177 |
def img2img(input_image, denoising, prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
|
178 |
result = prodia_client.transform({
|
179 |
"imageData": image_to_base64(input_image),
|