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Author SHA1 Message Date
Pierre Colle 64692c3b5b TrainerClock: assert dataset_length >= batch_size 2024-04-12 15:05:52 +02:00
Pierre Colle 0ac290f67d SAM: expose sizing helpers 2024-04-12 08:56:23 +02:00
Laurent 06ff2f0a5f add support for dinov2 giant flavors 2024-04-11 14:48:33 +02:00
Laurent 04e59bf3d9 fix GLU Activation docstrings 2024-04-11 14:48:33 +02:00
limiteinductive f26b6ee00a add static typing to __call__ method for latent_diffusion models ; fix multi_diffusion bug that wasn't taking guidance_scale into account 2024-04-11 12:13:30 +02:00
Cédric Deltheil a2ee705783 hq sam: add constructor args to docstring 
Additionally, mark `register_adapter_module` for internal use.
 2024-04-08 11:46:37 +02:00
Pierre Colle d05ebb8dd3 SAM/HQSAMAdapter: docstring examples 2024-04-08 07:12:57 +02:00
Pierre Chapuis e033306f60 use factories in context example 
Using the same instance multiple times is a bad idea
because PyTorch memorizes things internally. Among
other things this breaks Chain's `__repr__`.
 2024-04-05 18:06:54 +02:00
hugojarkoff bbb46e3fc7 Fix clock step inconsistencies on batch end 2024-04-05 15:52:43 +02:00
Pierre Chapuis 09af570b23 add DINOv2-FD metric 2024-04-03 16:45:00 +02:00
Cédric Deltheil c529006d13 get rid of invisible-watermark test dependency 
Was needed originally for diffusers' StableDiffusionXLPipeline. It has
been relaxed in the meanwhile (see `add_watermarker` for details).
 2024-04-03 14:48:56 +02:00
Laurent 2ecf7e4b8c skip dinov2 float16 test on cpu + test dinov2 when batch_size>1 2024-04-02 18:57:25 +02:00
Laurent 5f07fa9c21 fix dinov2 interpolation, support batching 2024-04-02 18:57:25 +02:00
Laurent ef427538a6 revert "arange" typo ignore 2024-04-02 18:18:22 +02:00
Pierre Chapuis 6c40f56c3f make numpy dependency explicit 2024-04-02 18:15:52 +02:00
Pierre Chapuis fd5a15c7e0 update pyright and fix Pillow 10.3 typing issues 2024-04-02 18:15:52 +02:00
Laurent 328fcb8ed1 update typos config, ignore torch.arange 2024-04-02 15:37:28 +02:00
Laurent 1a8ea9180f refactor dinov2 tests, check against official implementation 2024-04-02 10:02:43 +02:00
Laurent 4f94dfb494 implement dinov2 positional embedding interpolation 2024-04-02 10:02:43 +02:00
Laurent 0336bc78b5 simplify interpolate function and layer 2024-04-02 10:02:43 +02:00
Pierre Colle 6c37e3f933 hq-sam : weights/load_weights 2024-03-29 11:25:43 +01:00
Pierre Chapuis 2b48988c07 add missing word in documentation 2024-03-28 14:41:27 +01:00
Pierre Chapuis cb6ca60a4e add ci.yml to source (so it runs when we change it) 2024-03-28 14:40:07 +01:00
Pierre Chapuis daaa8c5416 use uv for Rye 2024-03-28 14:40:07 +01:00
Pierre Chapuis 404a15aad2 tweak auto_attach_loras so debugging is easier when it fails 2024-03-26 16:12:48 +01:00
Cédric Deltheil 2345f01dd3 test weights: check hash of pre-downloaded weights 2024-03-26 16:01:03 +01:00
Cédric Deltheil 04daeced73 test weights: fix control-lora expected hashes 2024-03-26 16:01:03 +01:00
Laurent a0715806d2 modify ip_adapter's ImageCrossAttention scale getter and setter 
this new version makes it robust in case mulitple Mulitply-s are inside the Chain (e.g. if the Linear layers are LoRA-ified)
 2024-03-26 11:15:04 +01:00
Laurent 7e64ba4011 modify ip_adapter's CrossAttentionAdapters injection logic 2024-03-26 11:15:04 +01:00
Cédric Deltheil df0cc2aeb8 do not call __getattr__ with keyword argument 
Same for __setattr__. Use positional arguments instead. E.g.:

    import torch
    import refiners.fluxion.layers as fl
    m = torch.compile(fl.Linear(1,1))
    m(torch.zeros(1))
    # TypeError: Module.__getattr__() got an unexpected keyword argument 'name'
 2024-03-25 21:46:13 +01:00
hugojarkoff 0f87ea29e0 Update README.md with HQ-SAM news 2024-03-25 09:19:19 +01:00
Pierre Colle cba83b0558 SAM init with mask_decoder after #325 2024-03-24 20:18:57 +01:00
Pierre Colle 5c937b184a HQ-SAM logit equal test, following #331 2024-03-23 21:58:32 +01:00
Pierre Colle 2763db960e SAM e2e test tolerance explained 2024-03-22 21:31:28 +01:00
Pierre Chapuis 364e196874 support no CFG in compute_clip_text_embedding 2024-03-22 17:06:51 +01:00
Pierre Colle 94e8b9c23f SAM MaskDecoder token slicing 2024-03-22 13:11:40 +01:00
hugojarkoff a93ceff752 Add HQ-SAM Adapter 2024-03-21 15:36:55 +01:00
hugojarkoff c6b5eb24a1 Add logits comparison for base SAM in single mask output prediction mode 2024-03-21 10:48:48 +01:00
limiteinductive 38c86f59f4 Switch gradient clipping to native torch torch.nn.utils.clip_grad_norm_ 2024-03-19 22:08:48 +01:00
Pierre Colle 68fe725767 Add multimask_output flag to SAM 2024-03-19 17:40:26 +01:00
limiteinductive 6a72943ff7 change TimeValue to a dataclass 2024-03-19 14:49:24 +01:00
Laurent b8fae60d38 make LoRA's weight initialization overridable 2024-03-13 17:32:16 +01:00
Pierre Chapuis c1b3a52141 set refine.rs home title 2024-03-13 16:34:42 +01:00
Pierre Chapuis e32d8d16f0 LoRA loading: forward exclusions when preprocessing parts of the UNet 2024-03-13 15:25:00 +01:00
limiteinductive ff5341c85c Change weight decay for Optimizer to normal PyTorch default 2024-03-12 15:20:21 +01:00
Laurent 46612a5138 fix stalebot message config 2024-03-11 17:05:14 +01:00
Pierre Chapuis 975560165c improve docstrings 2024-03-08 15:43:57 +01:00
Pierre Chapuis 5d784bedab add test for "Adapting SDXL" guide 2024-03-08 15:43:57 +01:00
Pierre Chapuis cd5fa97c20 ability to get LoRA weights in SDLoraManager 2024-03-08 15:43:57 +01:00
Pierre Chapuis fb90b00e75 add_loras_to_unet: add preprocess values as exclusions in last step 2024-03-08 15:43:57 +01:00