anzorq commited on
Commit
a735af2
1 Parent(s): fe2765b

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +29 -24
app.py CHANGED
@@ -40,16 +40,16 @@ if torch.cuda.is_available():
40
 
41
  device = "GPU 🔥" if torch.cuda.is_available() else "CPU 🥶"
42
 
43
- def inference(model, img, strength, prompt, guidance, steps, seed):
44
 
45
  generator = torch.Generator('cuda').manual_seed(seed) if seed != 0 else None
46
 
47
  if img is not None:
48
- return img_inference(model, prompt, img, strength, guidance, steps, generator)
49
  else:
50
- return text_inference(model, prompt, guidance, steps, generator)
51
 
52
- def text_inference(model, prompt, guidance, steps, generator=None):
53
 
54
  global current_model
55
  global pipe
@@ -63,14 +63,15 @@ def text_inference(model, prompt, guidance, steps, generator=None):
63
  prompt = prompt_prefixes[current_model] + prompt
64
  image = pipe(
65
  prompt,
 
66
  num_inference_steps=int(steps),
67
  guidance_scale=guidance,
68
- width=512,
69
- height=512,
70
  generator=generator).images[0]
71
  return image
72
 
73
- def img_inference(model, prompt, img, strength, guidance, steps, generator):
74
 
75
  global current_model
76
  global pipe
@@ -82,16 +83,17 @@ def img_inference(model, prompt, img, strength, guidance, steps, generator):
82
  pipe = pipe.to("cuda")
83
 
84
  prompt = prompt_prefixes[current_model] + prompt
85
- ratio = min(512 / img.height, 512 / img.width)
86
  img = img.resize((int(img.width * ratio), int(img.height * ratio)))
87
  image = pipe(
88
  prompt,
 
89
  init_image=img,
90
  num_inference_steps=int(steps),
91
  strength=strength,
92
  guidance_scale=guidance,
93
- width=512,
94
- height=512,
95
  generator=generator).images[0]
96
  return image
97
 
@@ -139,32 +141,35 @@ with gr.Blocks(css=css) as demo:
139
  with gr.Row():
140
 
141
  with gr.Column():
142
-
143
  model = gr.Dropdown(label="Model", choices=models, value=models[0])
144
  prompt = gr.Textbox(label="Prompt", placeholder="Style prefix is applied automatically")
145
- with gr.Accordion("Image to image (optional)", open=False):
146
- image = gr.Image(label="Image", height=256, tool="editor", type="pil")
147
- strength = gr.Slider(label="Transformation strength", minimum=0, maximum=1, step=0.01, value=0.5)
148
-
149
- with gr.Accordion("Advanced options", open=False):
150
- guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15)
151
- steps = gr.Slider(label="Steps", value=50, maximum=100, minimum=2)
152
- seed = gr.Slider(0, 2147483647, label='Seed (0 = random)', value=0, step=1)
 
 
 
153
 
154
- run = gr.Button(value="Run")
155
- gr.Markdown(f"Running on: {device}")
156
  with gr.Column():
157
  image_out = gr.Image(height=512)
 
 
158
 
159
- prompt.submit(inference, inputs=[model, image, strength, prompt, guidance, steps, seed], outputs=image_out)
160
- run.click(inference, inputs=[model, image, strength, prompt, guidance, steps, seed], outputs=image_out)
 
161
  gr.Examples([
162
  [models[0], "jason bateman disassembling the demon core", 7.5, 50],
163
  [models[3], "portrait of dwayne johnson", 7.0, 75],
164
  [models[4], "portrait of a beautiful alyx vance half life", 10, 50],
165
  [models[5], "Aloy from Horizon: Zero Dawn, half body portrait, smooth, detailed armor, beautiful face, illustration", 7, 45],
166
  [models[4], "fantasy portrait painting, digital art", 4, 30],
167
- ], [model, prompt, guidance, steps], image_out, text_inference, cache_examples=torch.cuda.is_available())
168
  gr.Markdown('''
169
  Models by [@nitrosocke](https://huggingface.co/nitrosocke), [@Helixngc7293](https://twitter.com/DGSpitzer) and others. ❤️<br>
170
  Space by: [![Twitter Follow](https://img.shields.io/twitter/follow/hahahahohohe?label=%40anzorq&style=social)](https://twitter.com/hahahahohohe)
 
40
 
41
  device = "GPU 🔥" if torch.cuda.is_available() else "CPU 🥶"
42
 
43
+ def inference(model, img, strength, prompt, neg_prompt, guidance, steps, width, height, seed):
44
 
45
  generator = torch.Generator('cuda').manual_seed(seed) if seed != 0 else None
46
 
47
  if img is not None:
48
+ return txt_to_img(model, prompt, neg_prompt, img, strength, guidance, steps, width, height, generator)
49
  else:
50
+ return img_to_img(model, prompt, neg_prompt, guidance, steps, width, height, generator)
51
 
52
+ def img_to_img(model, prompt, neg_prompt, guidance, steps, width, height, generator=None):
53
 
54
  global current_model
55
  global pipe
 
63
  prompt = prompt_prefixes[current_model] + prompt
64
  image = pipe(
65
  prompt,
66
+ negative_prompt=neg_prompt,
67
  num_inference_steps=int(steps),
68
  guidance_scale=guidance,
69
+ width=width,
70
+ height=height,
71
  generator=generator).images[0]
72
  return image
73
 
74
+ def txt_to_img(model, prompt, neg_prompt, img, strength, guidance, steps, width, height, generator):
75
 
76
  global current_model
77
  global pipe
 
83
  pipe = pipe.to("cuda")
84
 
85
  prompt = prompt_prefixes[current_model] + prompt
86
+ ratio = min(height / img.height, width / img.width)
87
  img = img.resize((int(img.width * ratio), int(img.height * ratio)))
88
  image = pipe(
89
  prompt,
90
+ negative_prompt=neg_prompt,
91
  init_image=img,
92
  num_inference_steps=int(steps),
93
  strength=strength,
94
  guidance_scale=guidance,
95
+ width=width,
96
+ height=height,
97
  generator=generator).images[0]
98
  return image
99
 
 
141
  with gr.Row():
142
 
143
  with gr.Column():
 
144
  model = gr.Dropdown(label="Model", choices=models, value=models[0])
145
  prompt = gr.Textbox(label="Prompt", placeholder="Style prefix is applied automatically")
146
+ with gr.Tab("Options"):
147
+
148
+ neg_prompt = gr.Textbox(label="Negative prompt", placeholder="What to exclude from the image")
149
+ guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15)
150
+ steps = gr.Slider(label="Steps", value=50, maximum=100, minimum=2)
151
+ width = gr.Slider(label="Width", value=512, maximum=1024, minimum=64)
152
+ height = gr.Slider(label="Height", value=512, maximum=1024, minimum=64)
153
+ seed = gr.Slider(0, 2147483647, label='Seed (0 = random)', value=0, step=1)
154
+ with gr.Tab("Image to image"):
155
+ image = gr.Image(label="Image", height=256, tool="editor", type="pil")
156
+ strength = gr.Slider(label="Transformation strength", minimum=0, maximum=1, step=0.01, value=0.5)
157
 
 
 
158
  with gr.Column():
159
  image_out = gr.Image(height=512)
160
+ run = gr.Button(value="Run")
161
+ gr.Markdown(f"Running on: {device}")
162
 
163
+ inputs = [model, image, strength, prompt, neg_prompt, guidance, steps, width, height, seed]
164
+ prompt.submit(inference, inputs=inputs, outputs=image_out)
165
+ run.click(inference, inputs=inputs, outputs=image_out)
166
  gr.Examples([
167
  [models[0], "jason bateman disassembling the demon core", 7.5, 50],
168
  [models[3], "portrait of dwayne johnson", 7.0, 75],
169
  [models[4], "portrait of a beautiful alyx vance half life", 10, 50],
170
  [models[5], "Aloy from Horizon: Zero Dawn, half body portrait, smooth, detailed armor, beautiful face, illustration", 7, 45],
171
  [models[4], "fantasy portrait painting, digital art", 4, 30],
172
+ ], [model, prompt, guidance, steps], image_out, img_to_img, cache_examples=False)
173
  gr.Markdown('''
174
  Models by [@nitrosocke](https://huggingface.co/nitrosocke), [@Helixngc7293](https://twitter.com/DGSpitzer) and others. ❤️<br>
175
  Space by: [![Twitter Follow](https://img.shields.io/twitter/follow/hahahahohohe?label=%40anzorq&style=social)](https://twitter.com/hahahahohohe)