Diffusion Fast Example #2902
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Diffusion Fast Example #2902
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lxning
reviewed
Jan 26, 2024
| model_dir = properties.get("model_dir") | ||
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| self.device = torch.device( | ||
| "cuda:" + str(properties.get("gpu_id")) |
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the order needs to be changed b/c the input gpu_id is < 0 for cpu case.
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updated the logic
| input_text = data.get("body") | ||
| if isinstance(input_text, (bytes, bytearray)): | ||
| input_text = input_text.decode("utf-8") | ||
| logger.info("Received text: '%s'", input_text) |
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this can be removed for prod
| inputs, num_inference_steps=self.num_inference_steps, height=768, width=768 | ||
| ).images | ||
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| logger.info("Generated image: '%s'", inferences) |
| responseTimeout: 3600 | ||
| deviceType: "gpu" | ||
| handler: | ||
| model_weights: "./Base_Diffusion_model" |
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can we change to model_path to align with the other LMI example style?
lxning
approved these changes
Jan 31, 2024
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Description
This is an example showing how to use Diffusion Fast with TorchServe
Fixes #(issue)
Type of change
Please delete options that are not relevant.
Feature/Issue validation/testing
Checklist: