initial commit

.gitignore

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+# Virtual environments
+venv

app.py

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+import torch
+from diffusers import StableDiffusionPipeline
+import gradio as gr
+
+model_id = "CompVis/stable-diffusion-v1-4"
+device = "cuda"
+
+
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to(device)
+
+
+
+# Prediction function
+def generate_image(prompt):
+
+    image = pipe(prompt).images[0]  
+    
+    return image
+    
+
+
+demo = gr.Interface(
+    fn=generate_image, 
+    inputs=gr.Textbox(label="Enter Prompt"),
+    outputs=gr.Image(label="Results"), 
+    title="generate Images",
+    allow_flagging="never"
+)
+
+
+# Launch the interface
+demo.launch()

requirements.txt

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+transformers
+torch
+requests
+Pillow
+open_clip_torch
+diffusers
+transformers
+scipy
+# This is only needed for local deployment
+gradio