Commit Graph

1617 Commits

Author SHA1 Message Date
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)
* 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)
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)
* 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)
* 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.
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
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.
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.
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.
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)
* 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)
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.
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