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* fix * add tests * add message check
… for image resizing (#11395)
* Kolors additional pipelines, community contrib --------- Co-authored-by: Teriks <Teriks@users.noreply.github.com> Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>
* 1. add pre-computation of prompt embeddings when custom prompts are used as well 2. save model card even if model is not pushed to hub 3. remove scheduler initialization from code example - not necessary anymore (it's now if the base model's config) 4. add skip_final_inference - to allow to run with validation, but skip the final loading of the pipeline with the lora weights to reduce memory reqs * pre encode validation prompt as well * Update examples/dreambooth/train_dreambooth_lora_hidream.py Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update examples/dreambooth/train_dreambooth_lora_hidream.py Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update examples/dreambooth/train_dreambooth_lora_hidream.py Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * pre encode validation prompt as well * Apply style fixes * empty commit * change default trained modules * empty commit * address comments + change encoding of validation prompt (before it was only pre-encoded if custom prompts are provided, but should be pre-encoded either way) * Apply style fixes * empty commit * fix validation_embeddings definition * fix final inference condition * fix pipeline deletion in last inference * Apply style fixes * empty commit * layers * remove readme remarks on only pre-computing when instance prompt is provided and change example to 3d icons * smol fix * empty commit --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Fix Flux IP adapter argument in the example IP-Adapter example had a wrong argument. Fix `true_cfg` -> `true_cfg_scale`
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ControlNet Kolors looking good..