diffusers

ee71d9d0 - Add support for different model prediction types in DDIMInverseScheduler (#2619)

Add support for different model prediction types in DDIMInverseScheduler (#2619) * Add support for different model prediction types in DDIMInverseScheduler Resolve alpha_prod_t_prev index issue for final step of inversion * Fix old bug introduced when prediction type is "sample" * Add support for sample clipping for numerical stability and deprecate old kwarg * Detach sample, alphas, betas Derive predicted noise from model output before dist. regularization Style cleanup * Log loss for debugging * Revert "Log loss for debugging" This reverts commit 76ea9c856f99f4c8eca45a0b1801593bb982584b. * Add comments * Add inversion equivalence test * Add expected data for Pix2PixZero pipeline tests with SD 2 * Update tests/pipelines/stable_diffusion/test_stable_diffusion_pix2pix_zero.py * Remove cruft and add more explanatory comments --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>