feat: add num_inference_steps to I2I, I2V and Upscaling pipelines #123
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added variable num_inference_steps and added the same variable in pipeline function calling with default value of 50
added property for image to image of number of inference steps.
This commit adds the `num_inference_steps` parameter to the upscale pipeline.
This commit ensures that the `strength` is set correctly when the sdxl-turbo model is used and cleans up the `num_inference_steps` implementation.
This commit improves the I2V `num_inference_steps` defaults and code.
This commit improves the implementation and defaults for the num_inference_steps parameter.
This commit adds the `num_inference_steps` to the I2I, I2V and Upscale pipelines in the worker codebase.
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eliteprox
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Jul 26, 2024
…vepeer#123) * Update image_to_image.py added variable num_inference_steps and added the same variable in pipeline function calling with default value of 50 * Update openapi.json added property for image to image of number of inference steps. * Update for num_inference_steps * Update image_to_video.py * Update image_to_image.py * Update image_to_video.py * Update openapi.json * Update image_to_video.py * Update image_to_image.py * Update image_to_video.py * Update openapi.json * feat: add `num_inference_steps` to upscale pipeline This commit adds the `num_inference_steps` parameter to the upscale pipeline. * feat: improve I2I pipeline num_inference_steps behavoir This commit ensures that the `strength` is set correctly when the sdxl-turbo model is used and cleans up the `num_inference_steps` implementation. * feat: improve I2V num_inference_steps behavoir This commit improves the I2V `num_inference_steps` defaults and code. * feat: improve T2I num_inference_steps behavoir This commit improves the implementation and defaults for the num_inference_steps parameter. * feat(worker): add num_inference_steps to I2I, I2V and Upscale pipelines This commit adds the `num_inference_steps` to the I2I, I2V and Upscale pipelines in the worker codebase. --------- Co-authored-by: Jason <83615043+JJassonn69@users.noreply.github.com> Co-authored-by: Jason Stone <custom@livepeerservice.world>
eliteprox
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that referenced
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Jul 26, 2024
…vepeer#123) * Update image_to_image.py added variable num_inference_steps and added the same variable in pipeline function calling with default value of 50 * Update openapi.json added property for image to image of number of inference steps. * Update for num_inference_steps * Update image_to_video.py * Update image_to_image.py * Update image_to_video.py * Update openapi.json * Update image_to_video.py * Update image_to_image.py * Update image_to_video.py * Update openapi.json * feat: add `num_inference_steps` to upscale pipeline This commit adds the `num_inference_steps` parameter to the upscale pipeline. * feat: improve I2I pipeline num_inference_steps behavoir This commit ensures that the `strength` is set correctly when the sdxl-turbo model is used and cleans up the `num_inference_steps` implementation. * feat: improve I2V num_inference_steps behavoir This commit improves the I2V `num_inference_steps` defaults and code. * feat: improve T2I num_inference_steps behavoir This commit improves the implementation and defaults for the num_inference_steps parameter. * feat(worker): add num_inference_steps to I2I, I2V and Upscale pipelines This commit adds the `num_inference_steps` to the I2I, I2V and Upscale pipelines in the worker codebase. --------- Co-authored-by: Jason <83615043+JJassonn69@users.noreply.github.com> Co-authored-by: Jason Stone <custom@livepeerservice.world>
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This pull request adds the
num_inference_stepsparameter to the I2I, I2V and Upscaling pipelines. It replaces #110 because I could not push to the feature branch created by @JJassonn69.