8c6493578b
Implement noise augmentation for SD 4X upscale model.
2024-01-03 14:27:11 -05:00
ef4f6037cb
Fix model patches not working in custom sampling scheduler nodes.
2024-01-03 12:16:30 -05:00
a7874d1a8b
Add support for the stable diffusion x4 upscaling model.
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This is an old model.
Load the checkpoint like a regular one and use the new
SD_4XUpscale_Conditioning node.
2024-01-03 03:37:56 -05:00
d1f3637a5a
Add a denoise parameter to BasicScheduler node.
2023-12-31 15:37:20 -05:00
6781b181ef
Fix potential tensor device issue with ImageCompositeMasked.
2023-12-21 02:35:01 -05:00
5f54614e7f
Add a RebatchImages node.
2023-12-20 16:22:18 -05:00
e82942cc29
Add a denoise parameter to the SDTurboScheduler.
2023-12-20 02:54:25 -05:00
571ea8cdcc
Fix SAG not working with cfg 1.0
2023-12-18 17:03:32 -05:00
d2f322902c
Fix wrong Stable Zero123 node name.
2023-12-18 03:59:50 -05:00
2258f85159
Support stable zero 123 model.
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To use it use the ImageOnlyCheckpointLoader to load the checkpoint and
the new Stable_Zero123 node.
2023-12-18 03:48:04 -05:00
a036b94075
Move SaveAnimated nodes to image->animation.
2023-12-17 02:37:22 -05:00
574efd3782
Fix perpneg not working on SDXL.
2023-12-16 02:30:16 -05:00
172984db01
Fix SAG not working on certain resolutions.
2023-12-16 01:29:57 -05:00
6596654d47
Add a LatentBatch node.
2023-12-16 01:21:00 -05:00
adc40e3d7b
Forgot this.
2023-12-15 15:46:23 -05:00
014c8bf2f2
Refactor LCM to support more model types.
2023-12-15 15:26:12 -05:00
9cad2f06ff
Make perp neg take a conditioning input instead of a CLIP one.
2023-12-15 14:40:57 -05:00
574363a8a6
Implement Perp-Neg
2023-12-16 00:28:16 +05:30
a5056cfb1f
Remove useless code.
2023-12-15 01:28:16 -05:00
b12b48e170
cleanup.
2023-12-14 20:11:46 -05:00
ba04a87d10
Refactor and improve the sag node.
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Moved all the sag related code to comfy_extras/nodes_sag.py
2023-12-13 16:11:26 -05:00
6761233e9d
Implement Self-Attention Guidance ( #2201 )
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* First SAG test
* need to put extra options on the model instead of patcher
* no errors and results seem not-broken
* Use @ashen-uncensored formula, which works better!!!
* Fix a crash when using weird resolutions. Remove an unnecessary UNet call
* Improve comments, optimize memory in blur routine
* SAG works with sampler_cfg_function
2023-12-13 15:52:11 -05:00
9ac0b487ac
Make --gpu-only put intermediate values in GPU memory instead of cpu.
2023-12-08 02:35:45 -05:00
cdff081023
Fix hypertile.
2023-12-07 15:22:35 -05:00
03eadbb53c
Make HyperTile deterministic
2023-12-06 21:17:56 +02:00
57d7f4464f
Add SDTurboScheduler node.
2023-11-28 13:35:32 -05:00
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.
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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
comfyanonymous
Hari
Rafie Walker
asagi4