Update app.py
Browse files
app.py
CHANGED
@@ -148,26 +148,26 @@ def generate_image_for_gradio(
|
|
148 |
generator = torch.Generator(device=DEVICE).manual_seed(seed)
|
149 |
|
150 |
|
151 |
-
# with torch.no_grad():
|
152 |
-
# generated_images = pipeline(
|
153 |
-
# prompt,
|
154 |
-
# image=input_image_for_pipeline,
|
155 |
-
# num_inference_steps=num_inference_steps,
|
156 |
-
# guidance_scale=guidance_scale,
|
157 |
-
# generator=generator,
|
158 |
-
# ).images
|
159 |
-
|
160 |
with torch.no_grad():
|
161 |
generated_images = pipeline(
|
162 |
prompt,
|
163 |
-
negative_prompt,
|
164 |
image=input_image_for_pipeline,
|
165 |
num_inference_steps=25,
|
166 |
-
|
167 |
-
strength = 0.85,
|
168 |
generator=generator,
|
169 |
).images
|
170 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
171 |
print(f"Image generation complete (seed: {seed}).")
|
172 |
return generated_images[0]
|
173 |
|
|
|
148 |
generator = torch.Generator(device=DEVICE).manual_seed(seed)
|
149 |
|
150 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
151 |
with torch.no_grad():
|
152 |
generated_images = pipeline(
|
153 |
prompt,
|
|
|
154 |
image=input_image_for_pipeline,
|
155 |
num_inference_steps=25,
|
156 |
+
guidance_scale=8.0,
|
|
|
157 |
generator=generator,
|
158 |
).images
|
159 |
|
160 |
+
# with torch.no_grad():
|
161 |
+
# generated_images = pipeline(
|
162 |
+
# prompt,
|
163 |
+
# negative_prompt,
|
164 |
+
# image=input_image_for_pipeline,
|
165 |
+
# num_inference_steps=25,
|
166 |
+
# # guidance_scale=8.0,
|
167 |
+
# strength = 0.85,
|
168 |
+
# generator=generator,
|
169 |
+
# ).images
|
170 |
+
|
171 |
print(f"Image generation complete (seed: {seed}).")
|
172 |
return generated_images[0]
|
173 |
|