Fix some little typos #17
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Dango233
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Dec 5, 2022
lawrence-cj
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Dec 23, 2024
* init vila caption * 111 (#2) * Feat/enze (#3) * 111 * 222 * test test * update vila caption * add vila code * update caption code * update vila stuff * update * gemma related * update * add time vae * update train * unrelated commit * code update * 1. add RMSNorm code; 2. add qk norm for cross attention; 3. add RMSNorm for y_embedder; 4. code update; 5. config update for y_norm; * tmp update for train.py * fix t5 loading * del unrelated files * tmp code for norm y & model * update * update * revert model structure(some unrelated nn.Identity Norm) * fix epoch_eta bug; (cherry picked from commit 48a2c16) * update * add gemma config * update * add ldm ae * update * add junyu vae * update * get_vae code * remove debug in train * add config.vae_latent_dim in train.py * commit * tqdm optimize in [infer] * update [infer] * update vae store code * update * update * update * update * update * update * add readme * update * re-add ldm_ae * [important] fix the `glumbonv` serious bug. Change `glumbonv` to `glumbconv`; * make the model structure code more robust. * update * update * update * update * update * update * update * 1 * set TOKENIZERS_PARALLELISM false * update * update * optimize cache log * add parallel linear attn * add parallel attn ref comments * update * update * update parallel attn * update * update * update text encoder system prompt * update * add sys prompt hashid * update * update * add test edit speed code * add torch.sync code * add inference for qat * add 2k config and fix dataset bug * update * update * push 4k config * add 4k timeshift=5 config * add feature: dilate conv * add flux sbatch test scripts; * update * update * tmp code * [CI-Lint] Fix code style issues with pre-commit 9fc4580380895194e461754b35cb9c904559e4e5 * clean code; mv slurm script into a folder; * [CI-Lint] Fix code style issues with pre-commit 9f1aeef955f2b1c23363fc7a00a9cef82bb6091f * bug fixed caused by merging enze's code; * mv unused model-block to other scripts; * [CI-Lint] Fix code style issues with pre-commit de3e66f6f8df2c056571387b2ad864e528bfc926 * mv unused model-block to other scripts; * code update; * code update; * [CI-Lint] Fix code style issues with pre-commit 5b2bac2e501cc6952f5c35fe4ce8fe1b98e6add8 --------- Co-authored-by: xieenze <Johnny_ez@163.com> Co-authored-by: GitHub Action <action@github.com>
yuyanpeng-google
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Oct 30, 2025
Add vae sharding
sayakpaul
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Nov 25, 2025
* add vae * Initial commit for Flux 2 Transformer implementation * add pipeline part * small edits to the pipeline and conversion * update conversion script * fix * up up * finish pipeline * Remove Flux IP Adapter logic for now * Remove deprecated 3D id logic * Remove ControlNet logic for now * Add link to ViT-22B paper as reference for parallel transformer blocks such as the Flux 2 single stream block * update pipeline * Don't use biases for input projs and output AdaNorm * up * Remove bias for double stream block text QKV projections * Add script to convert Flux 2 transformer to diffusers * make style and make quality * fix a few things. * allow sft files to go. * fix image processor * fix batch * style a bit * Fix some bugs in Flux 2 transformer implementation * Fix dummy input preparation and fix some test bugs * fix dtype casting in timestep guidance module. * resolve conflicts., * remove ip adapter stuff. * Fix Flux 2 transformer consistency test * Fix bug in Flux2TransformerBlock (double stream block) * Get remaining Flux 2 transformer tests passing * make style; make quality; make fix-copies * remove stuff. * fix type annotaton. * remove unneeded stuff from tests * tests * up * up * add sf support * Remove unused IP Adapter and ControlNet logic from transformer (#9) * copied from * Apply suggestions from code review Co-authored-by: YiYi Xu <yixu310@gmail.com> Co-authored-by: apolinário <joaopaulo.passos@gmail.com> * up * up * up * up * up * Refactor Flux2Attention into separate classes for double stream and single stream attention * Add _supports_qkv_fusion to AttentionModuleMixin to allow subclasses to disable QKV fusion * Have Flux2ParallelSelfAttention inherit from AttentionModuleMixin with _supports_qkv_fusion=False * Log debug message when calling fuse_projections on a AttentionModuleMixin subclass that does not support QKV fusion * Address review comments * Update src/diffusers/pipelines/flux2/pipeline_flux2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * up * Remove maybe_allow_in_graph decorators for Flux 2 transformer blocks (#12) * up * support ostris loras. (#13) * up * update schdule * up * up (#17) * add training scripts (#16) * add training scripts Co-authored-by: Linoy Tsaban <linoytsaban@gmail.com> * model cpu offload in validation. * add flux.2 readme * add img2img and tests * cpu offload in log validation * Apply suggestions from code review * fix * up * fixes * remove i2i training tests for now. --------- Co-authored-by: Linoy Tsaban <linoytsaban@gmail.com> Co-authored-by: linoytsaban <linoy@huggingface.co> * up --------- Co-authored-by: yiyixuxu <yixu310@gmail.com> Co-authored-by: Daniel Gu <dgu8957@gmail.com> Co-authored-by: yiyi@huggingface.co <yiyi@ip-10-53-87-203.ec2.internal> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com> Co-authored-by: apolinário <joaopaulo.passos@gmail.com> Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal> Co-authored-by: Linoy Tsaban <linoytsaban@gmail.com> Co-authored-by: linoytsaban <linoy@huggingface.co>
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