6e8cdcd3cb
Fix some tiled VAE decoding issues with LTX-Video.
2024-11-22 18:00:34 -05:00
5e16f1d24b
Support Lightricks LTX-Video model.
2024-11-22 08:46:39 -05:00
8f0009aad0
Support new flux model variants.
2024-11-21 08:38:23 -05:00
2865f913f7
Free memory before doing tiled decode.
2024-11-07 04:01:24 -05:00
b49616f951
Make VAEDecodeTiled node work with video VAEs.
2024-11-07 03:47:12 -05:00
8afb97cd3f
Fix unknown VAE being detected as the mochi VAE.
2024-11-05 03:43:27 -05:00
fabf449feb
Mochi VAE encoder.
2024-11-01 17:33:09 -04:00
c320801187
Remove useless line.
2024-10-28 17:41:12 -04:00
5cbb01bc2f
Basic Genmo Mochi video model support.
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To use:
"Load CLIP" node with t5xxl + type mochi
"Load Diffusion Model" node with the mochi dit file.
"Load VAE" with the mochi vae file.
EmptyMochiLatentVideo node for the latent.
euler + linear_quadratic in the KSampler node.
2024-10-26 06:54:00 -04:00
0075c6d096
Mixed precision diffusion models with scaled fp8.
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This change allows supports for diffusion models where all the linears are
scaled fp8 while the other weights are the original precision.
2024-10-21 18:12:51 -04:00
83ca891118
Support scaled fp8 t5xxl model.
2024-10-20 22:27:00 -04:00
a68bbafddb
Support diffusion models with scaled fp8 weights.
2024-10-19 23:47:42 -04:00
6632365e16
model_options consistency between functions.
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weight_dtype -> dtype
2024-10-11 20:51:19 -04:00
1b80895285
Make clip loader nodes support loading sd3 t5xxl in lower precision.
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Add attention mask support in the SD3 text encoder code.
2024-10-10 15:06:15 -04:00
5f9d5a244b
Hotfix for the div zero occurrence when memory_used_encode is 0 ( #5121 )
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https://github.com/comfyanonymous/ComfyUI/issues/5069#issuecomment-2382656368
2024-10-09 23:34:34 -04:00
e38c94228b
Add a weight_dtype fp8_e4m3fn_fast to the Diffusion Model Loader node.
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This is used to load weights in fp8 and use fp8 matrix multiplication.
2024-10-09 19:43:17 -04:00
7d2467e830
Some minor cleanups.
2024-10-05 13:22:39 -04:00
abcd006b8c
Allow more permutations of clip/t5 in dual clip loader.
2024-10-03 09:26:11 -04:00
d985d1d7dc
CLIP Loader node now supports clip_l and clip_g only for SD3.
2024-10-02 04:25:17 -04:00
d1cdf51e1b
Refactor some of the TE detection code.
2024-10-01 07:08:41 -04:00
ad66f7c7d8
Add model_options to load_controlnet function.
2024-09-19 08:23:35 -04:00
d514bb38ee
Add some option to model_options for the text encoder.
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load_device, offload_device and the initial_device can now be set.
2024-09-17 03:49:54 -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
d1a6bd6845
Support loading long clipl model with the CLIP loader node.
2024-08-20 10:46:36 -04:00
9eee470244
New load_text_encoder_state_dicts function.
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Now you can load text encoders straight from a list of state dicts.
2024-08-19 17:36:35 -04:00
4f7a3cb6fb
unet -> diffusion_models.
2024-08-17 21:31:04 -04:00
fca42836f2
Add model_options for text encoder.
2024-08-17 11:17:20 -04:00
74e124f4d7
Fix some issues with TE being in lowvram mode.
2024-08-12 23:42:21 -04:00
a562c17e8a
load_unet -> load_diffusion_model with a model_options argument.
2024-08-12 23:20:57 -04:00
ad76574cb8
Fix some potential issues with the previous commits.
2024-08-12 00:23:29 -04:00
9acfe4df41
Support loading directly to vram with CLIPLoader node.
2024-08-12 00:06:01 -04:00
9829b013ea
Fix mistake in last commit.
2024-08-12 00:00:17 -04:00
5c69cde037
Load TE model straight to vram if certain conditions are met.
2024-08-11 23:52:43 -04:00
e9589d6d92
Add a way to set model dtype and ops from load_checkpoint_guess_config.
2024-08-11 08:50:34 -04:00
0d82a798a5
Remove the ckpt_path from load_state_dict_guess_config.
2024-08-11 08:37:35 -04:00
925fff26fd
alternative to load_checkpoint_guess_config that accepts a loaded state dict ( #4249 )
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* make alternative fn
* add back ckpt path as 2nd argument?
2024-08-11 08:36:52 -04:00
b334605a66
Fix OOMs happening in some cases.
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A cloned model patcher sometimes reported a model was loaded on a device
when it wasn't.
2024-08-06 13:36:04 -04:00
2ba5cc8b86
Fix some issues.
2024-08-03 15:06:40 -04:00
ba9095e5bd
Automatically use fp8 for diffusion model weights if:
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Checkpoint contains weights in fp8.
There isn't enough memory to load the diffusion model in GPU vram.
2024-08-03 13:45:19 -04:00
d7430a1651
Add a way to load the diffusion model in fp8 with UNETLoader node.
2024-08-01 13:30:51 -04:00
5f98de7697
Load flux t5 in fp8 if weights are in fp8.
2024-08-01 11:05:56 -04:00
1589b58d3e
Basic Flux Schnell and Flux Dev model implementation.
2024-08-01 09:49:29 -04:00
4ba7fa0244
Refactor: Move sd2_clip.py to text_encoders folder.
2024-07-28 01:19:20 -04:00
a5f4292f9f
Basic hunyuan dit implementation. ( #4102 )
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* Let tokenizers return weights to be stored in the saved checkpoint.
* Basic hunyuan dit implementation.
* Fix some resolutions not working.
* Support hydit checkpoint save.
* Init with right dtype.
* Switch to optimized attention in pooler.
* Fix black images on hunyuan dit.
2024-07-25 18:21:08 -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
1305fb294c
Refactor: Move some code to the comfy/text_encoders folder.
2024-07-15 17:36:24 -04:00
a3dffc447a
Support AuraFlow Lora and loading model weights in diffusers format.
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You can load model weights in diffusers format using the UNETLoader node.
2024-07-13 13:51:40 -04:00
9f291d75b3
AuraFlow model implementation.
2024-07-11 16:52:26 -04:00
f45157e3ac
Fix error message never being shown.
2024-07-11 11:46:51 -04:00
