0bdc2b15c7
Cleanup.
6 months ago
bb4940d837
Only enable attention upcasting on models that actually need it.
6 months ago
2a813c3b09
Switch some more prints to logging.
8 months ago
cb7c3a2921
Allow image_only_indicator to be None.
9 months ago
b3e97fc714
Koala 700M and 1B support.
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Use the UNET Loader node to load the unet file to use them.
9 months ago
89507f8adf
Remove some unused imports.
10 months ago
8c6493578b
Implement noise augmentation for SD 4X upscale model.
11 months ago
79f73a4b33
Remove useless code.
11 months ago
77755ab8db
Refactor comfy.ops
...
comfy.ops -> comfy.ops.disable_weight_init
This should make it more clear what they actually do.
Some unused code has also been removed.
11 months ago
31b0f6f3d8
UNET weights can now be stored in fp8.
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--fp8_e4m3fn-unet and --fp8_e5m2-unet are the two different formats
supported by pytorch.
12 months ago
af365e4dd1
All the unet ops with weights are now handled by comfy.ops
12 months ago
50dc39d6ec
Clean up the extra_options dict for the transformer patches.
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Now everything in transformer_options gets put in extra_options.
12 months ago
871cc20e13
Support SVD img2vid model.
1 year ago
72741105a6
Remove useless code.
1 year ago
7e3fe3ad28
Make deep shrink behave like it should.
1 year ago
7ea6bb038c
Print warning when controlnet can't be applied instead of crashing.
1 year ago
94cc718e9c
Add a way to add patches to the input block.
1 year ago
794dd2064d
Fix typo.
1 year ago
a527d0c795
Code refactor.
1 year ago
6ec3f12c6e
Support SSD1B model and make it easier to support asymmetric unets.
1 year ago
9a55dadb4c
Refactor code so model can be a dtype other than fp32 or fp16.
1 year ago
afa2399f79
Add a way to set output block patches to modify the h and hsp.
1 year ago
cf5ae46928
Controlnet/t2iadapter cleanup.
1 year ago
b80c3276dc
Fix issue with gligen.
1 year ago
d6e4b342e6
Support for Control Loras.
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Control loras are controlnets where some of the weights are stored in
"lora" format: an up and a down low rank matrice that when multiplied
together and added to the unet weight give the controlnet weight.
This allows a much smaller memory footprint depending on the rank of the
matrices.
These controlnets are used just like regular ones.
1 year ago
2b13939044
Remove some useless code.
1 year ago
4b957a0010
Initialize the unet directly on the target device.
1 year ago
ddc6f12ad5
Disable autocast in unet for increased speed.
1 year ago
05676942b7
Add some more transformer hooks and move tomesd to comfy_extras.
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Tomesd now uses q instead of x to decide which tokens to merge because
it seems to give better results.
1 year ago
f87ec10a97
Support base SDXL and SDXL refiner models.
...
Large refactor of the model detection and loading code.
1 year ago
ae43f09ef7
All the unet weights should now be initialized with the right dtype.
1 year ago
7bf89ba923
Initialize more unet weights as the right dtype.
1 year ago
e21d9ad445
Initialize transformer unet block weights in right dtype at the start.
1 year ago
cb1551b819
Lowvram mode for gligen and fix some lowvram issues.
2 years ago
bae4fb4a9d
Fix imports.
2 years ago
ba8a4c3667
Change latent resolution step to 8.
2 years ago
66c8aa5c3e
Make unet work with any input shape.
2 years ago
3696d1699a
Add support for GLIGEN textbox model.
2 years ago
809bcc8ceb
Add support for unCLIP SD2.x models.
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See _for_testing/unclip in the UI for the new nodes.
unCLIPCheckpointLoader is used to load them.
unCLIPConditioning is used to add the image cond and takes as input a
CLIPVisionEncode output which has been moved to the conditioning section.
2 years ago
61ec3c9d5d
Add a way to pass options to the transformers blocks.
2 years ago
54dbfaf2ec
Remove omegaconf dependency and some ci changes.
2 years ago
fcb25d37db
Prepare for t2i adapter.
2 years ago
09f1d76ed8
Fix an OOM issue.
2 years ago
4efa67fa12
Add ControlNet support.
2 years ago
1f6a467e92
Update ldm dir with latest upstream stable diffusion changes.
2 years ago
220afe3310
Initial commit.
2 years ago
comfyanonymous