Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -9,14 +9,14 @@ import torch
|
|
9 |
MODEL_NAME = "runwayml/stable-diffusion-v1-5"
|
10 |
OUTPUT_DIR = "/content/stable_diffusion_weights/custom_model"
|
11 |
|
12 |
-
def fine_tune(instance_prompt, image1, image2
|
13 |
instance_data_dir = "/content/instance_images"
|
14 |
if os.path.exists(instance_data_dir):
|
15 |
shutil.rmtree(instance_data_dir)
|
16 |
os.makedirs(instance_data_dir, exist_ok=True)
|
17 |
|
18 |
image1.save(os.path.join(instance_data_dir, "instance_0.png"))
|
19 |
-
if image2:
|
20 |
image2.save(os.path.join(instance_data_dir, "instance_1.png"))
|
21 |
|
22 |
fine_tune_model(instance_data_dir, instance_prompt, MODEL_NAME, OUTPUT_DIR)
|
@@ -42,7 +42,7 @@ def gradio_app():
|
|
42 |
with gr.Column():
|
43 |
instance_prompt = gr.Textbox(label="Instance Prompt")
|
44 |
image1 = gr.Image(label="Upload Image 1", type="pil")
|
45 |
-
image2 = gr.Image(label="Upload Image 2 (Optional)", type="pil"
|
46 |
fine_tune_button = gr.Button("Fine-Tune Model")
|
47 |
output_text = gr.Textbox(label="Output")
|
48 |
fine_tune_button.click(fine_tune, inputs=[instance_prompt, image1, image2], outputs=output_text)
|
|
|
9 |
MODEL_NAME = "runwayml/stable-diffusion-v1-5"
|
10 |
OUTPUT_DIR = "/content/stable_diffusion_weights/custom_model"
|
11 |
|
12 |
+
def fine_tune(instance_prompt, image1, image2):
|
13 |
instance_data_dir = "/content/instance_images"
|
14 |
if os.path.exists(instance_data_dir):
|
15 |
shutil.rmtree(instance_data_dir)
|
16 |
os.makedirs(instance_data_dir, exist_ok=True)
|
17 |
|
18 |
image1.save(os.path.join(instance_data_dir, "instance_0.png"))
|
19 |
+
if image2 is not None:
|
20 |
image2.save(os.path.join(instance_data_dir, "instance_1.png"))
|
21 |
|
22 |
fine_tune_model(instance_data_dir, instance_prompt, MODEL_NAME, OUTPUT_DIR)
|
|
|
42 |
with gr.Column():
|
43 |
instance_prompt = gr.Textbox(label="Instance Prompt")
|
44 |
image1 = gr.Image(label="Upload Image 1", type="pil")
|
45 |
+
image2 = gr.Image(label="Upload Image 2 (Optional)", type="pil")
|
46 |
fine_tune_button = gr.Button("Fine-Tune Model")
|
47 |
output_text = gr.Textbox(label="Output")
|
48 |
fine_tune_button.click(fine_tune, inputs=[instance_prompt, image1, image2], outputs=output_text)
|