Create Generation.py

Generation.py

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+pip install --upgrade git+https://github.com/huggingface/diffusers.git transformers accelerate scipy
+
+import torch
+from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
+torch.manual_seed(1000)
+model_id = "stabilityai/stable-diffusion-2"
+
+# Use the Euler scheduler here instead
+scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
+pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, revision="fp16", torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+
+prompt = input()
+image = pipe(prompt).images[0]
+image.save("./image.png")
+from IPython.display import Image
+Image("./image.png")