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Build error
AlexKoff88
commited on
Commit
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2188f5e
1
Parent(s):
b85f1a6
Added model selector
Browse files
app.py
CHANGED
@@ -2,14 +2,29 @@ import gradio as gr
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from optimum.intel.openvino import OVStableDiffusionPipeline
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from diffusers.training_utils import set_seed
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prompt = "cartoon bird"
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return output.images[0]
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examples = ["cartoon bird",
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@@ -18,9 +33,9 @@ examples = ["cartoon bird",
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gr.Interface(
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fn=generate,
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inputs=gr.inputs.Textbox(placeholder="cartoon bird",
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outputs=gr.outputs.Image(type="pil", label="Generated Image"),
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title="OpenVINO-optimized Stable Diffusion",
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description="This is the Optimum-based demo for optimized Stable Diffusion pipeline trained on Pokemon dataset and running with OpenVINO",
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from optimum.intel.openvino import OVStableDiffusionPipeline
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from diffusers.training_utils import set_seed
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pipe_fp32 = OVStableDiffusionPipeline.from_pretrained("OpenVINO/stable-diffusion-pokemons-fp32", compile=False)
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pipe_fp32.reshape(batch_size=1, height=512, width=512, num_images_per_prompt=1)
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pipe_fp32.compile()
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pipe_int8 = OVStableDiffusionPipeline.from_pretrained("OpenVINO/stable-diffusion-pokemons-quantized-aggressive", compile=False)
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pipe_int8.reshape(batch_size=1, height=512, width=512, num_images_per_prompt=1)
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pipe_int8.compile()
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pipe_tome_int8 = OVStableDiffusionPipeline.from_pretrained("OpenVINO/stable-diffusion-pokemons-tome-quantized-aggressive", compile=False)
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pipe_tome_int8.reshape(batch_size=1, height=512, width=512, num_images_per_prompt=1)
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pipe_tome_int8.compile()
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prompt = "cartoon bird"
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pipes = {
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"FP32": pipe_fp32,
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"8-bit quantized": pipe_int8,
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"Merged and quantized": pipe_tome_int8
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}
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def generate(image, option):
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pipe = pipes[option]
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output = pipe(prompt, num_inference_steps=50, output_type="pil")
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return output.images[0]
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examples = ["cartoon bird",
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gr.Interface(
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fn=generate,
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inputs=[gr.inputs.Textbox(placeholder="cartoon bird", label="Prompt", lines=1),
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gr.inputs.Dropdown(choices=pipes.keys(), default="Merged and quantized", label="Model version"),
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],
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outputs=gr.outputs.Image(type="pil", label="Generated Image"),
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title="OpenVINO-optimized Stable Diffusion",
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description="This is the Optimum-based demo for optimized Stable Diffusion pipeline trained on Pokemon dataset and running with OpenVINO",
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