Upload 22 files

app.py

@@ -82,7 +82,7 @@ def main():
 
             result = gr.Image(label="Result", show_label=False)
 
-            with gr.Accordion("Advanced Settings", open=False):
+            with gr.Accordion("Advanced Settings", open=True):
                 negative_prompt = gr.Text(
                     label="Negative prompt",
                     max_lines=1,
@@ -115,7 +115,7 @@ def main():
                         minimum=512,
                         maximum=1024,
                         step=32,
-                        value=1024,  # Replace with defaults that work for your model
+                        value=1024,  # Replace with defaults that work for your checkpoints
                     )
 
                     height = gr.Slider(
@@ -123,7 +123,7 @@ def main():
                         minimum=512,
                         maximum=1024,
                         step=32,
-                        value=1024,  # Replace with defaults that work for your model
+                        value=1024,  # Replace with defaults that work for your checkpoints
                     )
 
                 with gr.Row():
@@ -132,7 +132,7 @@ def main():
                         minimum=0.0,
                         maximum=10.0,
                         step=0.1,
-                        value=7.5,  # Replace with defaults that work for your model
+                        value=7.5,  # Replace with defaults that work for your checkpoints
                     )
 
                     num_inference_steps = gr.Slider(
@@ -140,7 +140,7 @@ def main():
                         minimum=1,
                         maximum=400,
                         step=1,
-                        value=150,  # Replace with defaults that work for your model
+                        value=150,  # Replace with defaults that work for your checkpoints
                     )
 
                 with gr.Row():

checkpoints/checkpoint-1500/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84e63c65edbef797fc0a8f9d98ebcc2f84fea685ff87997d355d6ac235b9fa34
+size 6592122

checkpoints/checkpoint-1500/pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:05f29c0102af5fe4870a3d1f669d756d5f5245ad737f3ec83e9cc3f278ab482d
+size 3226184

checkpoints/checkpoint-1500/random_states_0.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ed4ee998b5458bb463572ca508dc61b8bb319336fccf3cc2ffc91b101dafce4
+size 15188

checkpoints/checkpoint-1500/scheduler.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42516625df2678a0f87de778a3f0ead58da148ac4f25fc5c6212c01a977100d6
+size 1000

config.py

@@ -9,11 +9,10 @@ torch_dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
-# PROJECT_PATH = "/Users/ioannisxarchakos/Dropbox/Projects/Dyla/"
-PROJECT_PATH = "/home/xarchakosi/dyla/"
+PROJECT_PATH = "/Users/ioannisxarchakos/Dropbox/Projects/Dyla/"
 PRETRAINED_MODEL = 'runwayml/stable-diffusion-v1-5'
 PRETRAINED_MODEL_XL = 'stabilityai/stable-diffusion-xl-base-1.0'
-LORA_WEIGHTS_PATH = os.path.join(PROJECT_PATH, 'sd-model-finetuned-lora/')
+LORA_WEIGHTS_PATH = os.path.join(PROJECT_PATH, 'sd-checkpoints-finetuned-lora/')
 DATA_DIR = os.path.join(PROJECT_PATH, 'ioannis_images/')
 CSV_PATH = os.path.join(DATA_DIR, 'prompts.csv')
 OUTPUT_DIR = 'generated_images'