Nymbo commited on
Commit
119e558
1 Parent(s): b5c8ba4

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +33 -7
app.py CHANGED
@@ -15,8 +15,9 @@ API_TOKEN = os.getenv("HF_READ_TOKEN")
15
  headers = {"Authorization": f"Bearer {API_TOKEN}"}
16
  timeout = 100
17
 
18
- def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7):
19
- if prompt == "" or prompt == None:
 
20
  return None
21
 
22
  key = random.randint(0, 999)
@@ -24,21 +25,29 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
24
  API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN")])
25
  headers = {"Authorization": f"Bearer {API_TOKEN}"}
26
 
 
27
  prompt = GoogleTranslator(source='ru', target='en').translate(prompt)
28
  print(f'\033[1mGeneration {key} translation:\033[0m {prompt}')
29
 
 
30
  prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
31
  print(f'\033[1mGeneration {key}:\033[0m {prompt}')
32
 
 
33
  payload = {
34
  "inputs": prompt,
35
  "is_negative": is_negative,
36
  "steps": steps,
37
  "cfg_scale": cfg_scale,
38
  "seed": seed if seed != -1 else random.randint(1, 1000000000),
39
- "strength": strength
 
 
 
 
40
  }
41
 
 
42
  response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
43
  if response.status_code != 200:
44
  print(f"Error: Failed to get image. Response status: {response.status_code}")
@@ -48,6 +57,7 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
48
  raise gr.Error(f"{response.status_code}")
49
 
50
  try:
 
51
  image_bytes = response.content
52
  image = Image.open(io.BytesIO(image_bytes))
53
  print(f'\033[1mGeneration {key} completed!\033[0m ({prompt})')
@@ -56,35 +66,51 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
56
  print(f"Error when trying to open the image: {e}")
57
  return None
58
 
 
59
  css = """
60
  #app-container {
61
- max-width: 600px;
62
  margin-left: auto;
63
  margin-right: auto;
64
  }
65
  """
66
 
 
67
  with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
 
68
  gr.HTML("<center><h1>FLUX.1-Schnell</h1></center>")
 
 
69
  with gr.Column(elem_id="app-container"):
 
70
  with gr.Row():
71
  with gr.Column(elem_id="prompt-container"):
72
  with gr.Row():
73
  text_prompt = gr.Textbox(label="Prompt", placeholder="Enter a prompt here", lines=2, elem_id="prompt-text-input")
 
 
74
  with gr.Row():
75
  with gr.Accordion("Advanced Settings", open=False):
76
  negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
 
 
 
77
  steps = gr.Slider(label="Sampling steps", value=4, minimum=1, maximum=100, step=1)
78
  cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1)
79
- method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
80
  strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
81
- seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
 
82
 
 
83
  with gr.Row():
84
  text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
 
 
85
  with gr.Row():
86
  image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
87
 
88
- text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength], outputs=image_output)
 
89
 
 
90
  app.launch(show_api=False, share=False)
 
15
  headers = {"Authorization": f"Bearer {API_TOKEN}"}
16
  timeout = 100
17
 
18
+ # Function to query the API and return the generated image
19
+ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, width=1024, height=1024):
20
+ if prompt == "" or prompt is None:
21
  return None
22
 
23
  key = random.randint(0, 999)
 
25
  API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN")])
26
  headers = {"Authorization": f"Bearer {API_TOKEN}"}
27
 
28
+ # Translate the prompt from Russian to English if necessary
29
  prompt = GoogleTranslator(source='ru', target='en').translate(prompt)
30
  print(f'\033[1mGeneration {key} translation:\033[0m {prompt}')
31
 
32
+ # Add some extra flair to the prompt
33
  prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
34
  print(f'\033[1mGeneration {key}:\033[0m {prompt}')
35
 
36
+ # Prepare the payload for the API call, including width and height
37
  payload = {
38
  "inputs": prompt,
39
  "is_negative": is_negative,
40
  "steps": steps,
41
  "cfg_scale": cfg_scale,
42
  "seed": seed if seed != -1 else random.randint(1, 1000000000),
43
+ "strength": strength,
44
+ "parameters": {
45
+ "width": width, # Pass the width to the API
46
+ "height": height # Pass the height to the API
47
+ }
48
  }
49
 
50
+ # Send the request to the API and handle the response
51
  response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
52
  if response.status_code != 200:
53
  print(f"Error: Failed to get image. Response status: {response.status_code}")
 
57
  raise gr.Error(f"{response.status_code}")
58
 
59
  try:
60
+ # Convert the response content into an image
61
  image_bytes = response.content
62
  image = Image.open(io.BytesIO(image_bytes))
63
  print(f'\033[1mGeneration {key} completed!\033[0m ({prompt})')
 
66
  print(f"Error when trying to open the image: {e}")
67
  return None
68
 
69
+ # CSS to style the app
70
  css = """
71
  #app-container {
72
+ max-width: 800px;
73
  margin-left: auto;
74
  margin-right: auto;
75
  }
76
  """
77
 
78
+ # Build the Gradio UI with Blocks
79
  with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
80
+ # Add a title to the app
81
  gr.HTML("<center><h1>FLUX.1-Schnell</h1></center>")
82
+
83
+ # Container for all the UI elements
84
  with gr.Column(elem_id="app-container"):
85
+ # Add a text input for the main prompt
86
  with gr.Row():
87
  with gr.Column(elem_id="prompt-container"):
88
  with gr.Row():
89
  text_prompt = gr.Textbox(label="Prompt", placeholder="Enter a prompt here", lines=2, elem_id="prompt-text-input")
90
+
91
+ # Accordion for advanced settings
92
  with gr.Row():
93
  with gr.Accordion("Advanced Settings", open=False):
94
  negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
95
+ with gr.Row():
96
+ width = gr.Slider(label="Width", value=1024, minimum=64, maximum=1216, step=32)
97
+ height = gr.Slider(label="Height", value=1024, minimum=64, maximum=1216, step=32)
98
  steps = gr.Slider(label="Sampling steps", value=4, minimum=1, maximum=100, step=1)
99
  cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1)
 
100
  strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
101
+ seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1) # Setting the seed to -1 will make it random
102
+ method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
103
 
104
+ # Add a button to trigger the image generation
105
  with gr.Row():
106
  text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
107
+
108
+ # Image output area to display the generated image
109
  with gr.Row():
110
  image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
111
 
112
+ # Bind the button to the query function with the added width and height inputs
113
+ text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength, width, height], outputs=image_output)
114
 
115
+ # Launch the Gradio app
116
  app.launch(show_api=False, share=False)