Bug fix for Stable Diffusion model timesteps #2303
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divyashreepathihalli
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sampathweb
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* Move keras-cv markdown files to toplevel (#2291) Keras, KerasNLP and KerasTuner all store things liek the CONTRIBUTING.md in the toplevel of the repo. We should do the same here. * Add `version()` API to unify with Keras and KerasNLP (#2199) * Unify `version` API with keras and keras_nlp * Formatting * Update to keep `version` parity with KerasNLP, support nightly version string * Update version_utils.py * Update version_utils.py * Update random_crop_and_zoom.py (#2294) * Update random_crop_and_zoom.py * Update description * rename file * bug fix (#2303) * Add BASNet Segmentation Model (#2006) (#2271) * BASNet model initial code structure * adding test and initial preset details * adding comments * cleaning and formatting code * keras 3 support added * disabling preset test for BASNet * Fix image.shape type (#2305) Fixed image.shape issue for tensorflow backend * Create workflow for auto assignment of issues and for stale issues (#2313) * Create auto-assignment.yaml * Create auto-assignment.js * Create stale-issue-pr.yaml * Rename auto-assignment.yaml to auto-assignment.yml * Rename stale-issue-pr.yaml to stale-issue-pr.yml * Fix format and Update Vectorized Base (#2323) * Fix CI Test for Basnet OOM and PyCoCo Test Failure for JAX (#2322) * Reduce memory consumption for BasNet tests (#2325) --------- Co-authored-by: Matt Watson <[email protected]> Co-authored-by: Gabriel Rasskin <[email protected]> Co-authored-by: Sachin Prasad <[email protected]> Co-authored-by: Haifeng Jin <[email protected]> Co-authored-by: Hamid Ali <[email protected]> Co-authored-by: Tirth Patel <[email protected]>
yuvraj-wale
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Feb 8, 2024
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The
num_stepsis set, but the actual number of steps is different because of the calculation of the timesteps.This PR fixes the problem by referring the HF diffuser implementation. [Link]