update

app.py

@@ -6,14 +6,18 @@ import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
+base_model = "stabilityai/stable-diffusion-xl-base-1.0"
+
 if torch.cuda.is_available():
     torch.cuda.max_memory_allocated(device=device)
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
+    pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
     pipe.enable_xformers_memory_efficient_attention()
     pipe = pipe.to(device)
+    pipe.load_lora_weights("Fer14/sdxl-coffe-machines", weights_name ="pytorch_lora_weights.safetensors")
 else: 
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
+    pipe = DiffusionPipeline.from_pretrained(base_model, use_safetensors=True)
     pipe = pipe.to(device)
+    pipe.load_lora_weights("Fer14/sdxl-coffe-machines", weights_name ="pytorch_lora_weights.safetensors")
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
@@ -38,9 +42,9 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
     return image
 
 examples = [
-    "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
-    "An astronaut riding a green horse",
-    "A delicious ceviche cheesecake slice",
+    "A cream espresso machine with steam wand for milk frothing, retro-shaped, with no screen and three silver buttons",
+    "A beige espresso coffee machine with a wooden handle, rectangular shaped, with no screen and three silver buttons",
+    "A red espresso coffee machine with portafilter handle and milk frother, cylindrical shaped, with no screen and three silver buttons",
 ]
 
 css="""
@@ -59,7 +63,7 @@ with gr.Blocks(css=css) as demo:
     
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""
-        # Text-to-Image Gradio Template
+        # Coffee Machine Generator ☕
         Currently running on {power_device}.
         """)