c6e34963e4
Make t2i adapter work with any latent resolution.
2 years ago
6fc4917634
Make maximum_batch_area take into account python2.0 attention function.
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More conservative xformers maximum_batch_area.
2 years ago
678f933d38
maximum_batch_area for xformers.
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Remove useless code.
2 years ago
8e03c789a2
auto-launch cli arg
2 years ago
cb1551b819
Lowvram mode for gligen and fix some lowvram issues.
2 years ago
af9cc1fb6a
Search recursively in subfolders for embeddings.
2 years ago
6ee11d7bc0
Fix import.
2 years ago
bae4fb4a9d
Fix imports.
2 years ago
fcf513e0b6
Refactor.
2 years ago
5eeecf3fd5
remove unused import
2 years ago
8912623ea9
use comfy progress bar
2 years ago
908dc1d5a8
Add a total_steps value to sampler callback.
2 years ago
27df74101e
reduce duplication
2 years ago
93c64afaa9
Use sampler callback instead of tqdm hook for progress bar.
2 years ago
06ad35b493
added progress to encode + upscale
2 years ago
ba8a4c3667
Change latent resolution step to 8.
2 years ago
66c8aa5c3e
Make unet work with any input shape.
2 years ago
9c335a553f
LoKR support.
2 years ago
d3293c8339
Properly disable all progress bars when disable_pbar=True
2 years ago
a2e18b1504
allow disabling of progress bar when sampling
2 years ago
071011aebe
Mask strength should be separate from area strength.
2 years ago
af02393c2a
Default to sampling entire image
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By default, when applying a mask to a condition, the entire image will
still be used for sampling. The new "set_area_to_bounds" option on the
node will allow the user to automatically limit conditioning to the
bounds of the mask.
I've also removed the dependency on torchvision for calculating bounding
boxes. I've taken the opportunity to fix some frustrating details in the
other version:
1. An all-0 mask will no longer cause an error
2. Indices are returned as integers instead of floats so they can be
used to index into tensors.
2 years ago
056e5545ff
Don't try to get vram from xpu or cuda when directml is enabled.
2 years ago
2ca934f7d4
You can now select the device index with: --directml id
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Like this for example: --directml 1
2 years ago
3baded9892
Basic torch_directml support. Use --directml to use it.
2 years ago
e214c917ae
Add Condition by Mask node
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This PR adds support for a Condition by Mask node. This node allows
conditioning to be limited to a non-rectangle area.
2 years ago
5a971cecdb
Add callback to sampler function.
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Callback format is: callback(step, x0, x)
2 years ago
aa57136dae
Some fixes to the batch masks PR.
2 years ago
c50208a703
Refactor more code to sample.py
2 years ago
7983b3a975
This is cleaner this way.
2 years ago
0b07b2cc0f
gligen tuple
2 years ago
c8c9926eeb
Add progress to vae decode tiled
2 years ago
d9b1595f85
made sample functions more explicit
2 years ago
5818539743
add docstrings
2 years ago
2a09e2aa27
refactor/split various bits of code for sampling
2 years ago
5282f56434
Implement Linear hypernetworks.
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Add a HypernetworkLoader node to use hypernetworks.
2 years ago
6908f9c949
This makes pytorch2.0 attention perform a bit faster.
2 years ago
907010e082
Remove some useless code.
2 years ago
96b57a9ad6
Don't pass adm to model when it doesn't support it.
2 years ago
3696d1699a
Add support for GLIGEN textbox model.
2 years ago
884ea653c8
Add a way for nodes to set a custom CFG function.
2 years ago
73c3e11e83
Fix model_management import so it doesn't get executed twice.
2 years ago
81d1f00df3
Some refactoring: from_tokens -> encode_from_tokens
2 years ago
d0b1b6c6bf
fixed improper padding
2 years ago
deb2b93e79
Move code to empty gpu cache to model_management.py
2 years ago
04d9bc13af
Safely load pickled embeds that don't load with weights_only=True.
2 years ago
da115bd78d
ensure backwards compat with optional args
2 years ago
752f7a162b
align behavior with old tokenize function
2 years ago
334aab05e5
Don't stop workflow if loading embedding fails.
2 years ago
73175cf58c
split tokenizer from encoder
2 years ago
comfyanonymous
EllangoK
pythongosssss
BlenderNeko
Jacob Segal