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Update l2i invoke and seamless to support AutoencoderTiny, remove att… (
#5936) …ention processors if no mid_block is detected ## What type of PR is this? (check all applicable) - [ ] Refactor - [ ] Feature - [x] Bug Fix - [ ] Optimization - [ ] Documentation Update - [ ] Community Node Submission ## Have you discussed this change with the InvokeAI team? - [x] Yes - [ ] No, because: ## Have you updated all relevant documentation? - [ ] Yes - [x] No ## Description L2i throws an assertion error when run with `madebyollin/taesdxl` due to it requiring a different class in diffusers to load it. This is a small PR to update seamless and l2i to accept AutoencoderTiny models and not throw exceptions while processing them. ## QA Instructions, Screenshots, Recordings <img width="445" alt="Screenshot 2024-03-12 at 12 04 29 PM" src="https://github.com/invoke-ai/InvokeAI/assets/58442074/34a17e44-d911-4fef-8fc1-71f7b688688c"> Run an sdxl pipeline using a vae that requires AutoencoderTiny and validate that the image successfully encodes and decodes. ## Merge Plan This PR can be merged when approved
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