0542088ef8
Refactor sampler code for more advanced sampler nodes part 2.
2024-04-04 01:26:41 -04:00
57753c964a
Refactor sampling code for more advanced sampler nodes.
2024-04-03 22:09:51 -04:00
977eda19a6
Don't round noise mask.
2024-01-11 03:29:58 -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
9ac0b487ac
Make --gpu-only put intermediate values in GPU memory instead of cpu.
2023-12-08 02:35:45 -05:00
9b655d4fd7
Fix memory issue with control loras.
2023-12-04 21:55:19 -05:00
13fdee6abf
Try to free memory for both cond+uncond before inference.
2023-11-27 14:55:40 -05:00
dd4ba68b6e
Allow different models to estimate memory usage differently.
2023-11-12 04:03:52 -05:00
036f88c621
Refactor to make it easier to add custom conds to models.
2023-10-24 23:31:12 -04:00
0d45a565da
Fix memory issue related to control loras.
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The cleanup function was not getting called.
2023-10-18 02:43:01 -04:00
1adcc4c3a2
Add a SamplerCustom Node.
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This node takes a list of sigmas and a sampler object as input.
This lets people easily implement custom schedulers and samplers as nodes.
More nodes will be added to it in the future.
2023-09-27 22:21:18 -04:00
bf3fc2f1b7
Refactor sampling related code.
2023-09-27 16:45:22 -04:00
77a176f9e0
Use common function to reshape batch to.
2023-09-02 03:42:49 -04:00
51dde87e97
Try to free enough vram for control lora inference.
2023-08-24 17:20:54 -04:00
be9c5e25bc
Fix issue with not freeing enough memory when sampling.
2023-08-17 15:59:56 -04:00
ac0758a1a4
Fix bug with lowvram and controlnet advanced node.
2023-08-17 13:38:51 -04:00
89a0767abf
Smarter memory management.
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Try to keep models on the vram when possible.
Better lowvram mode for controlnets.
2023-08-17 01:06:34 -04:00
ddc6f12ad5
Disable autocast in unet for increased speed.
2023-07-05 21:58:29 -04:00
4eab00e14b
Set the seed in the SDE samplers to make them more reproducible.
2023-06-25 03:04:57 -04:00
1201d2eae5
Make nodes map over input lists ( #579 )
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* allow nodes to map over lists
* make work with IS_CHANGED and VALIDATE_INPUTS
* give list outputs distinct socket shape
* add rebatch node
* add batch index logic
* add repeat latent batch
* deal with noise mask edge cases in latentfrombatch
2023-05-13 11:15:45 -04:00
d3293c8339
Properly disable all progress bars when disable_pbar=True
2023-05-01 15:52:17 -04:00
5a971cecdb
Add callback to sampler function.
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Callback format is: callback(step, x0, x)
2023-04-27 04:38:44 -04:00
aa57136dae
Some fixes to the batch masks PR.
2023-04-25 01:12:40 -04:00
c50208a703
Refactor more code to sample.py
2023-04-24 23:25:51 -04:00
0b07b2cc0f
gligen tuple
2023-04-24 21:47:57 +02:00
d9b1595f85
made sample functions more explicit
2023-04-24 12:53:10 +02:00
5818539743
add docstrings
2023-04-23 20:09:09 +02:00
2a09e2aa27
refactor/split various bits of code for sampling
2023-04-23 20:02:08 +02:00
comfyanonymous
BlenderNeko