20f579d91d
Add DualClipLoader to load clip models for SDXL.
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Update LoadClip to load clip models for SDXL refiner.
2 years ago
b7933960bb
Fix CLIPLoader node.
2 years 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.
2 years ago
8607c2d42d
Move latent scale factor from VAE to model.
2 years ago
30a3861946
Fix bug when yaml config has no clip params.
2 years ago
9e37f4c7d5
Fix error with ClipVision loader node.
2 years ago
9f83b098c9
Don't merge weights when shapes don't match and print a warning.
2 years ago
f87ec10a97
Support base SDXL and SDXL refiner models.
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Large refactor of the model detection and loading code.
2 years ago
51581dbfa9
Fix last commits causing an issue with the text encoder lora.
2 years ago
8125b51a62
Keep a set of model_keys for faster add_patches.
2 years ago
45beebd33c
Add a type of model patch useful for model merging.
2 years ago
8883cb0f67
Add a way to set patches that modify the attn2 output.
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Change the transformer patches function format to be more future proof.
2 years ago
fb4bf7f591
This is not needed anymore and causes issues with alphas_cumprod.
2 years ago
f7edcfd927
Add a --gpu-only argument to keep and run everything on the GPU.
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Make the CLIP model work on the GPU.
2 years ago
6b774589a5
Set model to fp16 before loading the state dict to lower ram bump.
2 years ago
388567f20b
sampler_cfg_function now uses a dict for the argument.
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This means arguments can be added without issues.
2 years ago
ff9b22d79e
Turn on safe load for a few models.
2 years ago
f0a2b81cd0
Cleanup: Remove a bunch of useless files.
2 years ago
f8c5931053
Split the batch in VAEEncode if there's not enough memory.
2 years ago
c069fc0730
Auto switch to tiled VAE encode if regular one runs out of memory.
2 years ago
de142eaad5
Simpler base model code.
2 years ago
0e425603fb
Small refactor.
2 years ago
700491d81a
Implement global average pooling for controlnet.
2 years ago
03da8a3426
This is useless for inference.
2 years ago
eb448dd8e1
Auto load model in lowvram if not enough memory.
2 years ago
a532888846
Support VAEs in diffusers format.
2 years ago
19c014f429
comment out annoying print statement
2 years ago
d9e088ddfd
minor changes for tiled sampler
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
fdf57325f4
Merge remote-tracking branch 'origin/master' into tiled-progress
2 years ago
27df74101e
reduce duplication
2 years ago
06ad35b493
added progress to encode + upscale
2 years ago
9c335a553f
LoKR support.
2 years ago
c8c9926eeb
Add progress to vae decode tiled
2 years ago
5282f56434
Implement Linear hypernetworks.
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Add a HypernetworkLoader node to use hypernetworks.
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
da115bd78d
ensure backwards compat with optional args
2 years ago
73175cf58c
split tokenizer from encoder
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
18a6c1db33
Add a TomePatchModel node to the _for_testing section.
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Tome increases sampling speed at the expense of quality.
2 years ago
b2554bc4dd
Split VAE decode batches depending on free memory.
2 years ago
dd095efc2c
Support loha that use cp decomposition.
2 years ago
94a7c895f4
Add loha support.
2 years ago
3ed4a4e4e6
Try again with vae tiled decoding if regular fails because of OOM.
2 years ago
comfyanonymous
BlenderNeko
pythongosssss