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https://github.com/invoke-ai/InvokeAI
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7 Commits
| Author | SHA1 | Message | Date | |
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Lincoln Stein
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1e1f871ee1
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Embedding merging (#1526)
* add whole <style token> to vocab for concept library embeddings * add ability to load multiple concept .bin files * make --log_tokenization respect custom tokens * start working on concept downloading system * preliminary support for dynamic loading and merging of multiple embedded models - The embedding_manager is now enhanced with ldm.invoke.concepts_lib, which handles dynamic downloading and caching of embedded models from the Hugging Face concepts library (https://huggingface.co/sd-concepts-library) - Downloading of a embedded model is triggered by the presence of one or more <concept> tags in the prompt. - Once the embedded model is downloaded, its trigger phrase will be loaded into the embedding manager and the prompt's <concept> tag will be replaced with the <trigger_phrase> - The downloaded model stays on disk for fast loading later. - The CLI autocomplete will complete partial <concept> tags for you. Type a '<' and hit tab to get all ~700 concepts. BUGS AND LIMITATIONS: - MODEL NAME VS TRIGGER PHRASE You must use the name of the concept embed model from the SD library, and not the trigger phrase itself. Usually these are the same, but not always. For example, the model named "hoi4-leaders" corresponds to the trigger "<HOI4-Leader>" One reason for this design choice is that there is no apparent constraint on the uniqueness of the trigger phrases and one trigger phrase may map onto multiple models. So we use the model name instead. The second reason is that there is no way I know of to search Hugging Face for models with certain trigger phrases. So we'd have to download all 700 models to index the phrases. The problem this presents is that this may confuse users, who will want to reuse prompts from distributions that use the trigger phrase directly. Usually this will work, but not always. - WON'T WORK ON A FIREWALLED SYSTEM If the host running IAI has no internet connection, it can't download the concept libraries. I will add a script that allows users to preload a list of concept models. - BUG IN PROMPT REPLACEMENT WHEN MODEL NOT FOUND There's a small bug that occurs when the user provides an invalid model name. The <concept> gets replaced with <None> in the prompt. * fix loading .pt embeddings; allow multi-vector embeddings; warn on dupes * simplify replacement logic and remove cuda assumption * download list of concepts from hugging face * remove misleading customization of '*' placeholder the existing code as-is did not do anything; unclear what it was supposed to do. the obvious alternative -- setting using 'placeholder_strings' instead of 'placeholder_tokens' to match model.params.personalization_config.params.placeholder_strings -- caused a crash. i think this is because the passed string also needed to be handed over on init of the PersonalizedBase as the 'placeholder_token' argument. this is weird config dict magic and i don't want to touch it. put a breakpoint in personalzied.py line 116 (top of PersonalizedBase.__init__) if you want to have a crack at it yourself. * address all the issues raised by damian0815 in review of PR #1526 * actually resize the token_embeddings * multiple improvements to the concept loader based on code reviews 1. Activated the --embedding_directory option (alias --embedding_path) to load a single embedding or an entire directory of embeddings at startup time. 2. Can turn off automatic loading of embeddings using --no-embeddings. 3. Embedding checkpoints are scanned with the pickle scanner. 4. More informative error messages when a concept can't be loaded due either to a 404 not found error or a network error. * autocomplete terms end with ">" now * fix startup error and network unreachable 1. If the .invokeai file does not contain the --root and --outdir options, invoke.py will now fix it. 2. Catch and handle network problems when downloading hugging face textual inversion concepts. * fix misformatted error string Co-authored-by: Damian Stewart <d@damianstewart.com> |
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damian0815
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206101f59d | revert initializer words for embeddings | ||
Damian at mba
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c3b992db96 |
Squashed commit of the following:
commit 9bb0b5d0036c4dffbb72ce11e097fae4ab63defd
Author: Damian at mba <damian@frey.NOSPAMco.nz>
Date: Sat Oct 15 23:43:41 2022 +0200
undo local_files_only stuff
commit eed93f5d30c34cfccaf7497618ae9af17a5ecfbb
Author: Damian at mba <damian@frey.NOSPAMco.nz>
Date: Sat Oct 15 23:40:37 2022 +0200
Revert "Merge branch 'development-invoke' into fix-prompts"
This reverts commit 7c40892a9f184f7e216f14d14feb0411c5a90e24, reversing
changes made to e3f2dd62b0548ca6988818ef058093a4f5b022f2.
commit f06d6024e345c69e6d5a91ab5423925a68ee95a7
Author: Damian at mba <damian@frey.NOSPAMco.nz>
Date: Thu Oct 13 23:30:16 2022 +0200
more efficiently handle multiple conditioning
commit 5efdfcbcd980ce6202ab74e7f90e7415ce7260da
Merge: b9c0dc5 ac08bb6
Author: Damian at mba <damian@frey.NOSPAMco.nz>
Date: Thu Oct 13 14:51:01 2022 +0200
Merge branch 'optional-disable-karras-schedule' into fix-prompts
commit ac08bb6fd25e19a9d35cf6c199e66500fb604af1
Author: Damian at mba <damian@frey.NOSPAMco.nz>
Date: Thu Oct 13 14:50:43 2022 +0200
append '*use_model_sigmas*' to prompt string to use model sigmas
commit 70d8c05a3ff329409f76204f4af94e55d468ab8b
Author: Damian at mba <damian@frey.NOSPAMco.nz>
Date: Thu Oct 13 12:12:17 2022 +0200
make karras scheduling switchable
commit
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Any-Winter-4079
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19a79caf41 |
Get for external TI .bin files to work
Issue referenced in https://github.com/invoke-ai/InvokeAI/issues/980#issuecomment-1272162880 Users whose embeddings are trained on a non-regular num_vectors_per_token (e.g. 6), should update this value in their local repo, to get that embedding to work. |
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Any-Winter-4079
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e19aab4a9b |
Textual Inversion for M1
Update main.py Update ddpm.py Update personalized.py Update personalized_style.py Update v1-finetune.yaml Update environment-mac.yaml Rename v1-finetune.yaml to v1-m1-finetune.yaml Create v1-finetune.yaml Update main.py Update main.py Update environment-mac.yaml Update v1-inference.yaml |
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Sean McLellan
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8952196bbf | Add personalization | ||
Robin Rombach
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2ff270f4e0 | stable diffusion |