update

app_texnet.py

@@ -29,7 +29,7 @@ def create_demo(process):
                         value=DEFAULT_IMAGE_RESOLUTION,
                         step=256,
                     )
-                    num_steps = gr.Slider(label="Number of steps", minimum=1, maximum=100, value=20, step=1)
+                    num_steps = gr.Slider(label="Number of steps", minimum=1, maximum=100, value=10, step=1)
                     guidance_scale = gr.Slider(label="Guidance scale", minimum=0.1, maximum=30.0, value=9.0, step=0.1)
                     seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
                     randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
@@ -71,8 +71,17 @@ def create_demo(process):
             inputs=inputs,
             outputs=result,
             examples=[
-                ["examples/uv_normal.png", "feather"],
-                # ["https://huggingface.co/spaces/jingyangcarl/matgen/resolve/main/examples/uv_normal.png", "feather"]
+                [
+                    "examples/uv_normal.png", 
+                    "feather", 
+                    a_prompt.value, 
+                    n_prompt.value,
+                    num_samples.value,
+                    image_resolution.value,
+                    num_steps.value,
+                    guidance_scale.value,
+                    seed.value,
+                ],
             ],
         )
     return demo

settings.py

@@ -5,7 +5,7 @@ import numpy as np
 DEFAULT_MODEL_ID = os.getenv("DEFAULT_MODEL_ID", "stable-diffusion-v1-5/stable-diffusion-v1-5")
 
 MAX_NUM_IMAGES = int(os.getenv("MAX_NUM_IMAGES", "3"))
-DEFAULT_NUM_IMAGES = min(MAX_NUM_IMAGES, int(os.getenv("DEFAULT_NUM_IMAGES", "2")))
+DEFAULT_NUM_IMAGES = min(MAX_NUM_IMAGES, int(os.getenv("DEFAULT_NUM_IMAGES", "1")))
 MAX_IMAGE_RESOLUTION = int(os.getenv("MAX_IMAGE_RESOLUTION", "2048"))
 DEFAULT_IMAGE_RESOLUTION = min(MAX_IMAGE_RESOLUTION, int(os.getenv("DEFAULT_IMAGE_RESOLUTION", "1024")))