00eca4b887
* Setup LEdits++ file structure * Fix import * LEditsPP Stable Diffusion pipeline * Include variable image aspect ratios * Implement LEDITS++ for SDXL * clean up LEditsPPPipelineStableDiffusion * Adjust inversion output * Added docu, more cleanup for LEditsPPPipelineStableDiffusion * clean up LEditsPPPipelineStableDiffusionXL * Update documentation * Fix documentation import * Add skeleton IF implementation * Fix documentation typo * Add LEDTIS docu to toctree * Add missing title * Finalize SD documentation * Finalize SD-XL documentation * Fix code style and quality * Fix typo * Fix return types * added LEditsPPPipelineIF; minor changes for LEditsPPPipelineStableDiffusion and LEditsPPPipelineStableDiffusionXL * Fix copy reference * add documentation for IF * Add first tests * Fix batching for SD-XL * Fix text encoding and perfect reconstruction for SD-XL * Add tests for SD-XL, minor changes * move user_mask to correct device, use cross_attention_kwargs also for inversion * Example docstring * Fix attention resolution for non-square images * Refactoring for PR review * Safely remove ledits_utils.py * Style fixes * Replace assertions with ValueError * Remove LEditsPPPipelineIF * Remove unecessary input checks * Refactoring of CrossAttnProcessor * Revert unecessary changes to scheduler * Remove first progress-bar in inversion * Refactor scheduler usage and reset * Use imageprocessor instead of custom logic * Fix scheduler init warning * Fix error when running the pipeline in fp16 * Update documentation wrt perfect inversion * Update tests * Fix code quality and copy consistency * Update LEditsPP import * Remove enable/disable methods that are now in StableDiffusionMixin * Change import in docs * Revert import structure change * Fix ledits imports --------- Co-authored-by: Katharina Kornmeier <katharina.kornmeier@stud.tu-darmstadt.de>
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LEDITS++
LEDITS++ was proposed in LEDITS++: Limitless Image Editing using Text-to-Image Models by Manuel Brack, Felix Friedrich, Katharina Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, Apolinário Passos.
The abstract from the paper is:
Text-to-image diffusion models have recently received increasing interest for their astonishing ability to produce high-fidelity images from solely text inputs. Subsequent research efforts aim to exploit and apply their capabilities to real image editing. However, existing image-to-image methods are often inefficient, imprecise, and of limited versatility. They either require time-consuming fine-tuning, deviate unnecessarily strongly from the input image, and/or lack support for multiple, simultaneous edits. To address these issues, we introduce LEDITS++, an efficient yet versatile and precise textual image manipulation technique. LEDITS++'s novel inversion approach requires no tuning nor optimization and produces high-fidelity results with a few diffusion steps. Second, our methodology supports multiple simultaneous edits and is architecture-agnostic. Third, we use a novel implicit masking technique that limits changes to relevant image regions. We propose the novel TEdBench++ benchmark as part of our exhaustive evaluation. Our results demonstrate the capabilities of LEDITS++ and its improvements over previous methods. The project page is available at https://leditsplusplus-project.static.hf.space .
You can find additional information about LEDITS++ on the project page and try it out in a demo.
Due to some backward compatability issues with the current diffusers implementation of [`~schedulers.DPMSolverMultistepScheduler`] this implementation of LEdits++ can no longer guarantee perfect inversion. This issue is unlikely to have any noticeable effects on applied use-cases. However, we provide an alternative implementation that guarantees perfect inversion in a dedicated [GitHub repo](https://github.com/ml-research/ledits_pp).We provide two distinct pipelines based on different pre-trained models.
LEditsPPPipelineStableDiffusion
autodoc pipelines.ledits_pp.LEditsPPPipelineStableDiffusion - all - call - invert
LEditsPPPipelineStableDiffusionXL
autodoc pipelines.ledits_pp.LEditsPPPipelineStableDiffusionXL - all - call - invert
LEditsPPDiffusionPipelineOutput
autodoc pipelines.ledits_pp.pipeline_output.LEditsPPDiffusionPipelineOutput - all
LEditsPPInversionPipelineOutput
autodoc pipelines.ledits_pp.pipeline_output.LEditsPPInversionPipelineOutput - all