f579a740dd
Update frontend release schedule in README. ( #6908 )
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Changes release schedule from weekly to fortnightly.
2025-02-21 05:58:12 -05:00
d37272532c
Add discord channel to support section. ( #6900 )
2025-02-20 18:26:16 -05:00
12da6ef581
Apparently directml supports fp16.
2025-02-20 09:30:24 -05:00
29d4384a75
Normalize extra_model_config.yaml paths to prevent duplicates. ( #6885 )
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* Normalize extra_model_config.yaml paths before adding.
* Fix tests.
* Fix tests.
2025-02-20 07:09:45 -05:00
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
b4d3652d88
fixed: crash caused by outdated incompatible aiohttp dependency ( #6841 )
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https://github.com/comfyanonymous/ComfyUI/issues/6038#issuecomment-2661776795
https://github.com/comfyanonymous/ComfyUI/issues/5814#issue-2700816845
2025-02-19 07:15:36 -05:00
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
0d4d9222c6
Add early experimental SaveWEBM node to save .webm files.
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The frontend part isn't done yet so there is no video preview on the node
or dragging the webm on the interface to load the workflow yet.
This uses a new dependency: PyAV.
2025-02-19 07:12:15 -05:00
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
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
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
31e54b7052
Improve AMD arch detection.
2025-02-17 04:53:40 -05:00
8c0bae50c3
bf16 manual cast works on old AMD.
2025-02-17 04:42:40 -05:00
530412cb9d
Refactor torch version checks to be more future proof.
2025-02-17 04:36:45 -05:00
61c8c70c6e
support system prompt and cfg renorm in Lumina2 ( #6795 )
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* support system prompt and cfg renorm in Lumina2
* fix issues with the ruff style check
2025-02-16 18:15:43 -05:00
d0399f4343
Update frontend to v1.9.18 ( #6828 )
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Co-authored-by: huchenlei <20929282+huchenlei@users.noreply.github.com >
2025-02-16 11:45:47 -05:00
e2919d38b4
Disable bf16 on AMD GPUs that don't support it.
2025-02-16 05:46:10 -05:00
93c8607d51
remove light_intensity and fov from load3d ( #6742 )
2025-02-15 15:34:36 -05:00
b3d6ae15b3
Update frontend to v1.9.17 ( #6814 )
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Co-authored-by: huchenlei <20929282+huchenlei@users.noreply.github.com >
2025-02-15 04:32:47 -05:00
2e21122aab
Add a node to set the model compute dtype for debugging.
2025-02-15 04:15:37 -05:00
1cd6cd6080
Disable pytorch attention in VAE for AMD.
2025-02-14 05:42:14 -05:00
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
042a905c37
Open yaml files with utf-8 encoding for extra_model_paths.yaml ( #6807 )
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* Using utf-8 encoding for yaml files.
* Fix test assertion.
2025-02-13 20:39:04 -05:00
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
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
1d5d6586f3
Fix ruff.
2025-02-12 06:49:16 -05:00
35740259de
mix_ascend_bf16_infer_err ( #6794 )
2025-02-12 06:48:11 -05:00
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
d9f0fcdb0c
Cleanup.
2025-02-11 17:17:03 -05:00
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
af4b7c91be
Make --force-fp16 actually force the diffusion model to be fp16.
2025-02-11 08:33:09 -05:00
e57d2282d1
Fix incorrect Content-Type for WebP images ( #6752 )
2025-02-11 04:48:35 -05:00
4027466c80
Make lumina model work with any latent resolution.
2025-02-10 00:24:20 -05:00
095d867147
Remove useless function.
2025-02-09 07:02:57 -05:00
caeb27c3a5
res_multistep: Fix cfgpp and add ancestral samplers ( #6731 )
2025-02-08 19:39:58 -05:00
3d06e1c555
Make error more clear to user.
2025-02-08 18:57:24 -05:00
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
af93c8d1ee
Document which text encoder to use for lumina 2.
2025-02-08 06:57:25 -05:00
832e3f5ca3
Fix another small bug in attention_bias redux ( #6737 )
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* fix a bug in the attn_masked redux code when using weight=1.0
* oh shit wait there was another bug
2025-02-07 14:44:43 -05:00
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
b6951768c4
fix a bug in the attn_masked redux code when using weight=1.0 ( #6721 )
2025-02-06 16:51:16 -05:00
fca304debf
Update frontend to v1.8.14 ( #6724 )
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Co-authored-by: huchenlei <20929282+huchenlei@users.noreply.github.com >
2025-02-06 10:43:10 -05:00
14880e6dba
Remove some useless code.
2025-02-06 05:00:37 -05:00
f1059b0b82
Remove unused GET /files API endpoint ( #6714 )
2025-02-05 18:48:36 -05:00
debabccb84
Bump ComfyUI version to v0.3.14
v0.3.14
2025-02-05 15:48:13 -05:00
37cd448529
Set the shift for Lumina back to 6.
2025-02-05 14:49:52 -05:00
94f21f9301
Upcasting rope to fp32 seems to make no difference in this model.
2025-02-05 04:32:47 -05:00
60653004e5
Use regular numbers for rope in lumina model.
2025-02-05 04:17:25 -05:00
a57d635c5f
Fix lumina 2 batches.
2025-02-04 21:48:11 -05:00
016b219dcc
Add Lumina Image 2.0 to Readme.
2025-02-04 08:08:36 -05:00