amazonaws-la commited on
Commit
998005c
·
verified ·
1 Parent(s): 8b9783b

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -7
app.py CHANGED
@@ -58,13 +58,9 @@ def generate(
58
  vaecall = 'stabilityai/sd-vae-ft-mse',
59
  lora = 'amazonaws-la/juliette',
60
  lora_scale: float = 0.7,
61
- ):
 
62
  if torch.cuda.is_available():
63
-
64
- url = "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/assets/stable-samples/img2img/sketch-mountains-input.jpg"
65
- response = requests.get(url)
66
- init_image = Image.open(BytesIO(response.content))
67
- init_image = init_image.resize((1024, 1024))
68
 
69
  if not use_vae:
70
  pipe = StableDiffusionImg2ImgPipeline.from_pretrained(model, torch_dtype=torch.float16)
@@ -106,7 +102,7 @@ def generate(
106
  guidance_scale=guidance_scale_base,
107
  num_inference_steps=num_inference_steps_base,
108
  generator=generator,
109
- image=init_image,
110
  output_type="pil",
111
  ).images[0]
112
  else:
 
58
  vaecall = 'stabilityai/sd-vae-ft-mse',
59
  lora = 'amazonaws-la/juliette',
60
  lora_scale: float = 0.7,
61
+ url = "https://m.media-amazon.com/images/I/81zPcrN6m+L.jpg",
62
+ ) -> PIL.Image.Image:
63
  if torch.cuda.is_available():
 
 
 
 
 
64
 
65
  if not use_vae:
66
  pipe = StableDiffusionImg2ImgPipeline.from_pretrained(model, torch_dtype=torch.float16)
 
102
  guidance_scale=guidance_scale_base,
103
  num_inference_steps=num_inference_steps_base,
104
  generator=generator,
105
+ image=url,
106
  output_type="pil",
107
  ).images[0]
108
  else: