test space without diffusers

app.py

@@ -1,14 +1,15 @@
 import gradio as gr
-from diffusers import StableDiffusionPipeline
+# from diffusers import StableDiffusionPipeline
 import torch
 
-device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+# device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", use_safetensors=True)
-pipe = pipe.to(device)
+# pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5-pruned-emaonly")
+# pipe = pipe.to(device)
 
 def generate_image(prompt, negative_prompt, seed, guidance_scale, num_inference_steps):
 
+    """
     generator = torch.Generator().manual_seed(seed)
     
     image = pipe(
@@ -22,6 +23,8 @@ def generate_image(prompt, negative_prompt, seed, guidance_scale, num_inference_
     ).images[0]
 
     return image
+    """
+    return torch.rand(512, 512, 3)
 
 css="""
 #col-container {
@@ -40,8 +43,6 @@ with gr.Blocks(css=css) as demo:
         ### References
         - [Coding Stable Diffusion from scratch in PyTorch](https://www.youtube.com/watch?v=ZBKpAp_6TGI&ab_channel=UmarJamil)
         - [Hugging Space Diffusers](https://github.com/huggingface/diffusers/)
-                    
-        Currently running on {device}.
         """)
         
         with gr.Row():