f30b992b18
.sigma and .timestep now return tensors on the same device as the input.
2023-11-27 16:41:33 -05:00
488de0b4df
ModelSamplingDiscreteLCM -> ModelSamplingDiscreteDistilled
2023-11-27 16:32:03 -05:00
e020ab61f9
Fix output APNG not working with ffmpeg.
2023-11-24 18:24:19 -05:00
8ad5d494d5
Fix APNG not working in ffmpeg.
2023-11-24 18:14:17 -05:00
916e9c998c
Use same default fps as webp node.
2023-11-24 11:19:23 -05:00
eff24ea6aa
Add a node to save animated PNG files. These work in ffpmeg unlike webp.
2023-11-24 11:12:10 -05:00
02ffbb2de3
Fix typo.
2023-11-23 23:20:07 -05:00
42dfae6331
Nodes to properly use the SDV img2vid checkpoint.
...
The img2vid model is conditioned on clip vision output only which means
there's no CLIP model which is why I added a ImageOnlyCheckpointLoader to
load it. Note that the unClipCheckpointLoader can also load it because it
also has a CLIP_VISION output.
SDV_img2vid_Conditioning is the node used to pass the right conditioning
to the img2vid model.
VideoLinearCFGGuidance applies a linearly decreasing CFG scale to each
video frame from the cfg set in the sampler node to min_cfg.
SDV_img2vid_Conditioning can be found in conditioning->video_models
ImageOnlyCheckpointLoader can be found in loaders->video_models
VideoLinearCFGGuidance can be found in sampling->video_models
2023-11-23 19:48:49 -05:00
871cc20e13
Support SVD img2vid model.
2023-11-23 19:41:33 -05:00
022033a0e7
Fix SaveAnimatedWEBP not working when metadata is disabled.
2023-11-23 15:39:35 -05:00
a657f96c5c
Add a node to save animated webp.
2023-11-23 14:28:41 -05:00
c3ae99a749
Allow controlling downscale and upscale methods in PatchModelAddDownscale.
2023-11-22 03:23:16 -05:00
31c5ea7b2c
Add LatentInterpolate to interpolate between latents.
2023-11-20 03:55:51 -05:00
dba4f3b4fc
Add a RepeatImageBatch node.
2023-11-19 06:09:01 -05:00
d9d8702d8d
percent_to_sigma now returns a float instead of a tensor.
2023-11-18 23:20:29 -05:00
8a451234b3
Add ImageCrop node.
2023-11-18 04:44:17 -05:00
7e3fe3ad28
Make deep shrink behave like it should.
2023-11-16 15:26:28 -05:00
bd07ad1861
Add PatchModelAddDownscale (Kohya Deep Shrink) node.
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By adding a downscale to the unet in the first timesteps this node lets
you generate images at higher resolutions with less consistency issues.
2023-11-16 13:25:46 -05:00
dcec1047e6
Invert the start and end percentages in the code.
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This doesn't affect how percentages behave in the frontend but breaks
things if you relied on them in the backend.
percent_to_sigma goes from 0 to 1.0 instead of 1.0 to 0 for less confusion.
Make percent 0 return an extremely large sigma and percent 1.0 return a
zero one to fix imprecision.
2023-11-16 04:23:44 -05:00
420beeeb05
Clean up and refactor sampler code.
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This should make it much easier to write custom nodes with kdiffusion type
samplers.
2023-11-14 00:39:34 -05:00
8509bd58b4
Reorganize custom_sampling nodes.
2023-11-13 21:45:23 -05:00
61112c81b9
Add a node to flip the sigmas for unsampling.
2023-11-13 21:45:08 -05:00
ca2812bae0
Fix RescaleCFG for batch size > 1.
2023-11-10 22:05:25 -05:00
58d5d71a93
Working RescaleCFG node.
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This was broken because of recent changes so I fixed it and moved it from
the experiments repo.
2023-11-10 20:52:10 -05:00
002aefa382
Support lcm models.
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Use the "lcm" sampler to sample them, you also have to use the
ModelSamplingDiscrete node to set them as lcm models to use them properly.
2023-11-09 18:30:22 -05:00
ca71e542d2
Lower cfg step to 0.1 in sampler nodes.
2023-11-09 17:35:17 -05:00
844dbf97a7
Add: advanced->model->ModelSamplingDiscrete node.
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This allows changing the sampling parameters of the model (eps or vpred)
or set the model to use zsnr.
2023-11-07 03:28:53 -05:00
4acfc11a80
add difference blend mode
2023-11-05 19:00:23 +01:00
ee74ef5c9e
Increase maximum batch size in LatentRebatch.
2023-11-02 13:07:41 -04:00
23c5d17837
Added Bayer dithering to Quantize node.
2023-10-31 22:22:40 +01:00
1443caf373
HyperTile node, can be found in: _for_testing->HyperTile
2023-10-21 05:16:38 -04:00
c2bb34d865
Implement updated FreeU as _for_testing->FreeU_V2 node
2023-10-18 02:06:49 -04:00
f8caa24bcc
Support hypernetwork with mish activation function and layer norm.
2023-10-17 12:08:03 -04:00
b5fa3d28d7
Fix MaskComposite
2023-10-13 13:40:53 -03:00
87097a11c3
Fix FeatherMask
2023-10-13 12:26:54 -03:00
20d3852aa1
Pull some small changes from the other repo.
2023-10-11 20:38:48 -04:00
877553843f
Add a CLIPSave node to save CLIP model weights.
2023-10-10 01:24:49 -04:00
7bb9f6b7e8
Add a VAESave node.
2023-10-09 01:42:15 -04:00
c16f5744e3
Fix SplitImageWithAlpha and JoinImageWithAlpha.
2023-10-08 15:52:10 -04:00
69a824e9a4
Move _for_testing/custom_sampling nodes to sampling/custom_sampling.
2023-10-08 03:20:35 -04:00
0e763e880f
JoinImageWithAlpha now works with any mask shape.
2023-10-04 15:54:34 -04:00
9212bea87c
Change a few things in #1578 .
2023-10-04 15:43:41 -04:00
214ca7197e
Corrected joining images with alpha (for RGBA input), and checking scaling conditions
2023-10-04 19:04:52 +02:00
585fb0475b
Adding default alpha when splitting RGB images
2023-10-04 19:04:52 +02:00
ece69bf28c
Change channel type to MASK (reduced redundancy, increased usability)
2023-10-04 19:04:52 +02:00
d06cd2805d
Added support for Porter-Duff image compositing
2023-10-04 19:04:48 +02:00
2ef459b1d4
Add VPScheduler node
2023-10-01 03:48:07 -04:00
8ab49dc0a4
DPMPP_SDE node.
2023-09-30 01:51:22 -04:00
213976f8c3
Add ExponentialScheduler and PolyexponentialScheduler nodes.
2023-09-29 09:05:30 -04:00
1c8ae9dbb2
Allow GrowMask node to work with batches (for AnimateDiff) ( #1623 )
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* Allow mask batches
This allows LatentCompositeMasked -node to work with AnimateDiff. I tried to keep old functionality too, unsure if it's correct, but both single mask and batch of masks seems to work with this change.
* Update nodes_mask.py
2023-09-28 22:01:19 -04:00
comfyanonymous
matt3o
tsone
Jairo Correa
MoonRide303
Jukka Seppänen