3e8155f7a3
More flexible long clip support.
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Add clip g long clip support.
Text encoder refactor.
Support llama models with different vocab sizes.
2025-04-15 10:32:21 -04:00
dfa36e6855
Fix some things breaking when embeddings fail to apply.
2025-03-06 13:31:55 -05:00
0bef826a98
Support llava clip vision model.
2025-03-06 00:24:43 -05:00
85ef295069
Make applying embeddings more efficient.
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Adding new tokens no longer makes a whole copy of the embeddings weight
which can be massive on certain models.
2025-03-05 17:34:38 -05:00
65042f7d39
Make it easier to set a custom template for hunyuan video.
2025-03-04 09:26:05 -05:00
e5ea112a90
Support Lumina 2 model.
2025-02-04 04:16:30 -05:00
cba58fff0b
Remove unsafe embedding load for very old pytorch.
2025-01-15 04:32:23 -05:00
d7969cb070
Replace print with logging ( #6138 )
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* Replace print with logging
* nit
* nit
* nit
* nit
* nit
* nit
2024-12-20 16:24:55 -05:00
bddb02660c
Add PixArt model support ( #6055 )
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* PixArt initial version
* PixArt Diffusers convert logic
* pos_emb and interpolation logic
* Reduce duplicate code
* Formatting
* Use optimized attention
* Edit empty token logic
* Basic PixArt LoRA support
* Fix aspect ratio logic
* PixArtAlpha text encode with conds
* Use same detection key logic for PixArt diffusers
2024-12-20 15:25:00 -05:00
ca457f7ba1
Properly tokenize the template for hunyuan video.
2024-12-17 16:22:02 -05:00
bda1482a27
Basic Hunyuan Video model support.
2024-12-16 19:35:40 -05:00
d9d7f3c619
Lint all unused variables ( #5989 )
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* Enable F841
* Autofix
* Remove all unused variable assignment
2024-12-12 17:59:16 -05:00
44db978531
Fix a few things in text enc code for models with no eos token.
2024-12-10 23:07:26 -05:00
1c8d11e48a
Support different types of tokenizers.
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Support tokenizers without an eos token.
Pass full sentences to tokenizer for more efficient tokenizing.
2024-12-10 15:03:39 -05:00
83ca891118
Support scaled fp8 t5xxl model.
2024-10-20 22:27:00 -04:00
0bedfb26af
Revert "Fix Transformers FutureWarning ( #5140 )"
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This reverts commit 95b7cf9bbe
2024-10-16 12:36:19 -04:00
95b7cf9bbe
Fix Transformers FutureWarning ( #5140 )
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* Update sd1_clip.py
Fix Transformers FutureWarning
* Update sd1_clip.py
Fix comment
2024-10-14 20:12:20 -04:00
7ae6626723
Remove useless argument.
2024-10-12 07:16:21 -04:00
e813abbb2c
Long CLIP L support for SDXL, SD3 and Flux.
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Use the *CLIPLoader nodes.
2024-09-15 07:59:38 -04:00
83dbac28eb
Properly set if clip text pooled projection instead of using hack.
2024-08-20 10:46:36 -04:00
fca42836f2
Add model_options for text encoder.
2024-08-17 11:17:20 -04:00
e1c528196e
Fix bundled embed.
2024-08-07 13:30:45 -04:00
1c08bf35b4
Support format for embeddings bundled in loras.
2024-08-07 03:45:25 -04:00
2c038ccef0
Lower CLIP memory usage by a bit.
2024-07-31 01:32:35 -04:00
82cae45d44
Fix potential issue with non clip text embeddings.
2024-07-30 14:41:13 -04:00
f87810cd3e
Let tokenizers return weights to be stored in the saved checkpoint.
2024-07-25 10:52:09 -04:00
10c919f4c7
Make it possible to load tokenizer data from checkpoints.
2024-07-24 16:43:53 -04:00
391c1046cf
More flexibility with text encoder return values.
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Text encoders can now return other values to the CONDITIONING than the cond
and pooled output.
2024-07-10 20:06:50 -04:00
e44fa5667f
Support returning text encoder attention masks.
2024-07-10 19:31:22 -04:00
bb663bcd6c
Rename clip_t5base to t5base for stable audio text encoder.
2024-07-08 08:53:55 -04:00
80c4590998
Allow specifying the padding token for the tokenizer.
2024-07-06 00:06:49 -04:00
ce649d61c0
Allow zeroing out of embeds with unused attention mask.
2024-07-05 23:48:17 -04:00
eee815ec99
Update sd1_clip.py ( #3684 )
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Made token instance check more flexible so it also works with integers from numpy arrays or long tensors
2024-06-19 16:42:41 -04:00
0e49211a11
Load the SD3 T5xxl model in the same dtype stored in the checkpoint.
2024-06-11 17:03:26 -04:00
742d5720d1
Support zeroing out text embeddings with the attention mask.
2024-06-09 16:51:58 -04:00
56333d4850
Use the end token for the text encoder attention mask.
2024-06-07 03:05:23 -04:00
65397ce601
Replace prints with logging and add --verbose argument.
2024-03-10 12:14:23 -04:00
03c47fc0f2
Add a min_length property to tokenizer class.
2024-02-26 21:36:37 -05:00
8ac69f62e5
Make return_projected_pooled setable from the __init__
2024-02-25 14:49:13 -05:00
c2cb8e889b
Always return unprojected pooled output for gligen.
2024-02-25 07:33:13 -05:00
1cb3f6a83b
Move text projection into the CLIP model code.
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Fix issue with not loading the SSD1B clip correctly.
2024-02-25 01:41:08 -05:00
97d03ae04a
StableCascade CLIP model support.
2024-02-16 13:29:04 -05:00
4871a36458
Cleanup some unused imports.
2024-01-21 21:51:22 -05:00
57926635e8
Switch text encoder to manual cast.
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Use fp16 text encoder weights for CPU inference to lower memory usage.
2023-12-10 23:00:54 -05:00
9ac0b487ac
Make --gpu-only put intermediate values in GPU memory instead of cpu.
2023-12-08 02:35:45 -05:00
fbdb14d4c4
Cleaner CLIP text encoder implementation.
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Use a simple CLIP model implementation instead of the one from
transformers.
This will allow some interesting things that would too hackish to implement
using the transformers implementation.
2023-12-06 23:50:03 -05:00
be3468ddd5
Less useless downcasting.
2023-12-04 12:53:46 -05:00
728613bb3e
Fix last pr.
2023-11-14 14:41:31 -05:00
f2e49b1d57
fix: adaptation to older versions of pytroch
2023-11-14 14:32:05 +09:00
656c0b5d90
CLIP code refactor and improvements.
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More generic clip model class that can be used on more types of text
encoders.
Don't apply weighting algorithm when weight is 1.0
Don't compute an empty token output when it's not needed.
2023-11-06 14:17:41 -05:00
comfyanonymous
Chenlei Hu
City
svdc
Mario Klingemann
Jianqi Pan