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github.com/ali-vilab/ACE_plus
/ types & classes
Types & classes
38 in github.com/ali-vilab/ACE_plus
⨍
Functions
190
◇
Types & classes
38
↓ 4 callers
Class
Modulation
modules/layers.py:209
↓ 3 callers
Class
MLPEmbedder
modules/layers.py:130
↓ 3 callers
Class
QKNorm
modules/layers.py:153
↓ 3 callers
Class
SelfAttention
modules/layers.py:165
↓ 2 callers
Class
ACEPlusImageProcessor
inference/utils.py:24
↓ 2 callers
Class
EmbedND
modules/layers.py:89
↓ 2 callers
Class
ModulationOut
modules/layers.py:203
↓ 2 callers
Class
RMSNorm
modules/layers.py:141
↓ 1 callers
Class
DemoUI
demo_fft.py:53
↓ 1 callers
Class
DemoUI
demo_lora.py:55
↓ 1 callers
Class
DoubleStreamBlock
modules/layers.py:225
↓ 1 callers
Class
LastLayer
modules/layers.py:495
↓ 1 callers
Class
MemoryEfficientSafeOpen
model_convert.py:20
↓ 1 callers
Class
SingleStreamBlock
A DiT block with parallel linear layers as described in https://arxiv.org/abs/2302.05442 and adapted modulation interface.
modules/layers.py:298
Class
ACEBackwardHook
modules/checkpoint.py:75
Class
ACECheckpointHook
Checkpoint resume or save hook. Args: interval (int): Save interval, by epoch. save_best (bool): Save the best checkpoint by a me
modules/checkpoint.py:31
Class
ACEHFEmbedder
modules/embedder.py:24
Class
ACEInference
reuse the ldm code
inference/ace_plus_inference.py:15
Class
ACEPlus
workflow/ComfyUI-ACE_Plus/ace_plus_fft_node.py:24
Class
ACEPlusDataset
modules/ace_plus_dataset.py:75
Class
ACEPlusDiffuserInference
inference/ace_plus_diffusers.py:15
Class
ACEPlusFFTConditioning
workflow/ComfyUI-ACE_Plus/ace_plus_fft_node.py:55
Class
ACEPlusFFTLoader
workflow/ComfyUI-ACE_Plus/ace_plus_fft_node.py:32
Class
ACEPlusLoraConditioning
workflow/ComfyUI-ACE_Plus/ace_plus_fft_node.py:126
Class
AcePlusFFTProcessor
workflow/ComfyUI-ACE_Plus/ace_plus_fft_node.py:185
Class
AcePlusLoraProcessor
workflow/ComfyUI-ACE_Plus/ace_plus_fft_node.py:398
Class
BaseInference
support to load the components dynamicly. create and load model when run this model at the first time.
inference/registry.py:17
Class
CrossAttention
modules/layers.py:183
Class
DoubleStreamBlockC
A DiT block with parallel linear layers as described in https://arxiv.org/abs/2302.05442 and adapted modulation interface.
modules/layers.py:349
Class
DoubleStreamBlockD
A DiT block with parallel linear layers as described in https://arxiv.org/abs/2302.05442 and adapted modulation interface.
modules/layers.py:408
Class
Flux
Transformer backbone Diffusion model with RoPE.
modules/flux.py:21
Class
FluxMR
modules/flux.py:522
Class
FluxMRACEPlus
modules/flux.py:650
Class
FluxMRModiACEPlus
modules/flux.py:731
Class
FormalACEPlusSolver
modules/ace_plus_solver.py:12
Class
LatentDiffusionACEPlus
modules/ace_plus_ldm.py:18
Class
SingleStreamBlockC
A DiT block with parallel linear layers as described in https://arxiv.org/abs/2302.05442 and adapted modulation interface.
modules/layers.py:379
Class
T5ACEPlusClipFluxEmbedder
Uses the OpenCLIP transformer encoder for text
modules/embedder.py:172