patientx
603cacb14a
Merge branch 'comfyanonymous:master' into master
2025-02-20 23:06:56 +03:00
comfyanonymous
12da6ef581
Apparently directml supports fp16.
2025-02-20 09:30:24 -05:00
Silver
c5be423d6b
Fix link pointing to non-exisiting docs ( #6891 )
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* Fix link pointing to non-exisiting docs
The current link is pointing to a path that does not exist any longer.
I changed it to point to the currect correct path for custom nodes datatypes.
* Update node_typing.py
2025-02-20 07:07:07 -05:00
patientx
a813e39d54
Merge branch 'comfyanonymous:master' into master
2025-02-19 16:19:26 +03:00
maedtb
5715be2ca9
Fix Hunyuan unet config detection for some models. ( #6877 )
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The change to support 32 channel hunyuan models is missing the `key_prefix` on the key.
This addresses a complain in the comments of acc152b674 .
2025-02-19 07:14:45 -05:00
patientx
4e6a5fc548
Merge branch 'comfyanonymous:master' into master
2025-02-19 13:52:34 +03:00
bymyself
afc85cdeb6
Add Load Image Output node ( #6790 )
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* add LoadImageOutput node
* add route for input/output/temp files
* update node_typing.py
* use literal type for image_folder field
* mark node as beta
2025-02-18 17:53:01 -05:00
Jukka Seppänen
acc152b674
Support loading and using SkyReels-V1-Hunyuan-I2V ( #6862 )
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* Support SkyReels-V1-Hunyuan-I2V
* VAE scaling
* Fix T2V
oops
* Proper latent scaling
2025-02-18 17:06:54 -05:00
patientx
3bde94efbb
Merge branch 'comfyanonymous:master' into master
2025-02-18 16:27:10 +03:00
comfyanonymous
b07258cef2
Fix typo.
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Let me know if this slows things down on 2000 series and below.
2025-02-18 07:28:33 -05:00
patientx
ef2e97356e
Merge branch 'comfyanonymous:master' into master
2025-02-17 14:04:15 +03:00
comfyanonymous
31e54b7052
Improve AMD arch detection.
2025-02-17 04:53:40 -05:00
comfyanonymous
8c0bae50c3
bf16 manual cast works on old AMD.
2025-02-17 04:42:40 -05:00
patientx
e8bf0ca27f
Merge branch 'comfyanonymous:master' into master
2025-02-17 12:42:02 +03:00
comfyanonymous
530412cb9d
Refactor torch version checks to be more future proof.
2025-02-17 04:36:45 -05:00
patientx
45c55f6cd0
Merge branch 'comfyanonymous:master' into master
2025-02-16 14:37:41 +03:00
comfyanonymous
e2919d38b4
Disable bf16 on AMD GPUs that don't support it.
2025-02-16 05:46:10 -05:00
patientx
6f05ace055
Merge branch 'comfyanonymous:master' into master
2025-02-14 13:50:23 +03:00
comfyanonymous
1cd6cd6080
Disable pytorch attention in VAE for AMD.
2025-02-14 05:42:14 -05:00
patientx
f125a37bdf
Update model_management.py
2025-02-14 12:33:27 +03:00
patientx
99d2824d5a
Update model_management.py
2025-02-14 12:30:19 +03:00
comfyanonymous
d7b4bf21a2
Auto enable mem efficient attention on gfx1100 on pytorch nightly 2.7
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I'm not not sure which arches are supported yet. If you see improvements in
memory usage while using --use-pytorch-cross-attention on your AMD GPU let
me know and I will add it to the list.
2025-02-14 04:18:14 -05:00
patientx
4d66aa9709
Merge branch 'comfyanonymous:master' into master
2025-02-14 11:00:12 +03:00
comfyanonymous
019c7029ea
Add a way to set a different compute dtype for the model at runtime.
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Currently only works for diffusion models.
2025-02-13 20:34:03 -05:00
patientx
bce4176d3d
fixes to use pytorch-attention
2025-02-13 19:17:35 +03:00
patientx
f9ee02080f
Merge branch 'comfyanonymous:master' into master
2025-02-13 16:37:24 +03:00
comfyanonymous
8773ccf74d
Better memory estimation for ROCm that support mem efficient attention.
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There is no way to check if the card actually supports it so it assumes
that it does if you use --use-pytorch-cross-attention with yours.
2025-02-13 08:32:36 -05:00
patientx
e4448cf48e
Merge branch 'comfyanonymous:master' into master
2025-02-12 15:50:23 +03:00
comfyanonymous
1d5d6586f3
Fix ruff.
2025-02-12 06:49:16 -05:00
zhoufan2956
35740259de
mix_ascend_bf16_infer_err ( #6794 )
2025-02-12 06:48:11 -05:00
comfyanonymous
ab888e1e0b
Add add_weight_wrapper function to model patcher.
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Functions can now easily be added to wrap/modify model weights.
2025-02-12 05:55:35 -05:00
comfyanonymous
d9f0fcdb0c
Cleanup.
2025-02-11 17:17:03 -05:00
HishamC
b124256817
Fix for running via DirectML ( #6542 )
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* Fix for running via DirectML
Fix DirectML empty image generation issue with Flux1. add CPU fallback for unsupported path. Verified the model works on AMD GPUs
* fix formating
* update casual mask calculation
2025-02-11 17:11:32 -05:00
patientx
196fc385e1
Merge branch 'comfyanonymous:master' into master
2025-02-11 16:38:17 +03:00
comfyanonymous
af4b7c91be
Make --force-fp16 actually force the diffusion model to be fp16.
2025-02-11 08:33:09 -05:00
patientx
2a0bc66fed
Merge branch 'comfyanonymous:master' into master
2025-02-10 15:41:15 +03:00
comfyanonymous
4027466c80
Make lumina model work with any latent resolution.
2025-02-10 00:24:20 -05:00
patientx
9561b03cc7
Merge branch 'comfyanonymous:master' into master
2025-02-09 15:33:03 +03:00
comfyanonymous
095d867147
Remove useless function.
2025-02-09 07:02:57 -05:00
Pam
caeb27c3a5
res_multistep: Fix cfgpp and add ancestral samplers ( #6731 )
2025-02-08 19:39:58 -05:00
comfyanonymous
3d06e1c555
Make error more clear to user.
2025-02-08 18:57:24 -05:00
catboxanon
43a74c0de1
Allow FP16 accumulation with --fast ( #6453 )
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Currently only applies to PyTorch nightly releases. (>=20250208)
2025-02-08 17:00:56 -05:00
patientx
9a9da027b2
Merge branch 'comfyanonymous:master' into master
2025-02-07 12:02:36 +03:00
comfyanonymous
079eccc92a
Don't compress http response by default.
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Remove argument to disable it.
Add new --enable-compress-response-body argument to enable it.
2025-02-07 03:29:21 -05:00
patientx
4a1e3ee925
Merge branch 'comfyanonymous:master' into master
2025-02-06 14:33:29 +03:00
comfyanonymous
14880e6dba
Remove some useless code.
2025-02-06 05:00:37 -05:00
patientx
93c0fc3446
Update supported_models.py
2025-02-05 23:12:38 +03:00
patientx
f8c2ab631a
Merge branch 'comfyanonymous:master' into master
2025-02-05 23:10:21 +03:00
comfyanonymous
37cd448529
Set the shift for Lumina back to 6.
2025-02-05 14:49:52 -05:00
comfyanonymous
94f21f9301
Upcasting rope to fp32 seems to make no difference in this model.
2025-02-05 04:32:47 -05:00