Duplicate from samthakur/stable-diffusion-2.1

Co-authored-by: samunder singh <[email protected]>

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README.md

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+---
+title: Stable Diffusion 2.1
+emoji: 📉
+colorFrom: purple
+colorTo: pink
+sdk: gradio
+sdk_version: 3.16.2
+app_file: app.py
+pinned: false
+license: openrail
+duplicated_from: samthakur/stable-diffusion-2.1
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import torch
+from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
+
+model_id = "stabilityai/stable-diffusion-2-1"
+
+# Use the DPMSolverMultistepScheduler (DPM-Solver++) scheduler here instead
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32)
+pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
+
+def diffusion(text,num_inference_steps,guidance_scale):
+    prompt = text
+    image = pipe(prompt,guidance_scale=guidance_scale, num_inference_steps=num_inference_steps).images[0]
+    return image
+demo = gr.Interface(
+    diffusion,
+    [
+        gr.Textbox(
+            label="prompt text",
+            lines=3,
+        ),
+        gr.Slider(1, 100, value=50),
+        gr.Slider(1.0, 30.0, value=7.5),
+    ],
+    "image",
+   
+)
+if __name__ == "__main__":
+    demo.launch()
+
+    
+image.save("astronaut_rides_horse.png")

requirements.txt

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+diffusers 
+transformers 
+accelerate 
+scipy 
+safetensors