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github.com/adobe-research/custom-diffusion
/ types & classes
Types & classes
19 in github.com/adobe-research/custom-diffusion
⨍
Functions
135
◇
Types & classes
19
↓ 3 callers
Class
CustomDiffusionAttnProcessor
src/diffusers_model_pipeline.py:279
↓ 2 callers
Class
CustomDiffusionDataset
A dataset to prepare the instance and class images with the prompts for fine-tuning the model. It pre-processes the images and the tokenizes
src/diffusers_data_pipeline.py:275
↓ 2 callers
Class
PromptDataset
A simple dataset to prepare the prompts to generate class images on multiple GPUs.
src/diffusers_data_pipeline.py:258
↓ 1 callers
Class
CLIPCapDataset
customconcept101/evaluate.py:19
↓ 1 callers
Class
ConcatDataset
train.py:344
↓ 1 callers
Class
CustomDiffusionXFormersAttnProcessor
src/diffusers_model_pipeline.py:323
↓ 1 callers
Class
FrozenCLIPEmbedderWrapper
Uses the CLIP transformer encoder for text (from Hugging Face)
src/custom_modules.py:226
↓ 1 callers
Class
WrappedDataset
Wraps an arbitrary object with __len__ and __getitem__ into a pytorch dataset
train.py:315
Class
AbstractEncoder
src/custom_modules.py:218
Class
CLIPImageDataset
customconcept101/evaluate.py:41
Class
CUDACallback
train.py:599
Class
CustomDiffusion
src/model.py:106
Class
CustomDiffusionPipeline
r""" Pipeline for custom diffusion model. This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic
src/diffusers_model_pipeline.py:367
Class
CustomDiffusionXLPipeline
r""" Pipeline for custom diffusion model. This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic
src/diffusers_model_pipeline.py:503
Class
DINOImageDataset
customconcept101/evaluate.py:67
Class
DataModuleFromConfig
train.py:355
Class
ImageLogger
train.py:492
Class
MaskBase
src/finetune_data.py:115
Class
SetupCallback
train.py:443