patrickvonplaten commited on
Commit
3c77757
1 Parent(s): 1ee3bf0

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +15 -7
app.py CHANGED
@@ -12,11 +12,12 @@ from torch import autocast
12
  import cv2
13
  from matplotlib import pyplot as plt
14
  from torchvision import transforms
15
- from diffusers import DiffusionPipeline
16
 
17
  from share_btn import community_icon_html, loading_icon_html, share_js
18
 
19
- pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-inpainting", torch_dtype=torch.float16).to("cuda")
 
20
 
21
  def read_content(file_path: str) -> str:
22
  """read the content of target file
@@ -26,10 +27,13 @@ def read_content(file_path: str) -> str:
26
 
27
  return content
28
 
29
- def predict(dict, prompt=""):
30
- init_image = dict["image"].convert("RGB").resize((512, 512))
31
- mask = dict["mask"].convert("RGB").resize((512, 512))
32
- output = pipe(prompt = prompt, image=init_image, mask_image=mask,guidance_scale=7.5)
 
 
 
33
  return output.images[0], gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
34
 
35
 
@@ -82,6 +86,10 @@ with image_blocks as demo:
82
  image = gr.Image(source='upload', tool='sketch', elem_id="image_upload", type="pil", label="Upload").style(height=400)
83
  with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
84
  prompt = gr.Textbox(placeholder = 'Your prompt (what you want in place of what is erased)', show_label=False, elem_id="input-text")
 
 
 
 
85
  btn = gr.Button("Inpaint!").style(
86
  margin=False,
87
  rounded=(False, True, True, False),
@@ -95,7 +103,7 @@ with image_blocks as demo:
95
  share_button = gr.Button("Share to community", elem_id="share-btn", visible=False)
96
 
97
 
98
- btn.click(fn=predict, inputs=[image, prompt], outputs=[image_out, community_icon, loading_icon, share_button])
99
  share_button.click(None, [], [], _js=share_js)
100
 
101
 
 
12
  import cv2
13
  from matplotlib import pyplot as plt
14
  from torchvision import transforms
15
+ from diffusers import DiffusionPipeline, UNet2DModel
16
 
17
  from share_btn import community_icon_html, loading_icon_html, share_js
18
 
19
+ unet = UNet2DModel.from_pretrained("valhalla/sdxl-inpaint-ema")
20
+ pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", unet=unet, torch_dtype=torch.float16, variant="fp16").to("cuda")
21
 
22
  def read_content(file_path: str) -> str:
23
  """read the content of target file
 
27
 
28
  return content
29
 
30
+ def predict(dict, prompt="", guidance_scale, steps, strength):
31
+
32
+ init_image = dict["image"].convert("RGB").resize((1024, 1024))
33
+ mask = dict["mask"].convert("RGB").resize((1024, 1024))
34
+
35
+ output = pipe(prompt = prompt, image=init_image, mask_image=mask, guidance_scale=guidance_scale, steps=int(steps), strength=strength)
36
+
37
  return output.images[0], gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
38
 
39
 
 
86
  image = gr.Image(source='upload', tool='sketch', elem_id="image_upload", type="pil", label="Upload").style(height=400)
87
  with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
88
  prompt = gr.Textbox(placeholder = 'Your prompt (what you want in place of what is erased)', show_label=False, elem_id="input-text")
89
+ guidance_scale = gradio.Number(value=7.5, minimum=1.0, maximum=20.0)
90
+ steps = gradio.Number(value=20, minimum=10, maximum=50)
91
+ strength = gradio.Number(value=0.0, minimum=0.0, maximum=0.0)
92
+
93
  btn = gr.Button("Inpaint!").style(
94
  margin=False,
95
  rounded=(False, True, True, False),
 
103
  share_button = gr.Button("Share to community", elem_id="share-btn", visible=False)
104
 
105
 
106
+ btn.click(fn=predict, inputs=[image, prompt, guidance_scale, steps, strength], outputs=[image_out, community_icon, loading_icon, share_button])
107
  share_button.click(None, [], [], _js=share_js)
108
 
109