MCPcopy Create free account

hub / github.com/adobe-research/custom-diffusion / types & classes

Types & classes19 in github.com/adobe-research/custom-diffusion

↓ 3 callersClassCustomDiffusionAttnProcessor
src/diffusers_model_pipeline.py:279
↓ 2 callersClassCustomDiffusionDataset
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 callersClassPromptDataset
A simple dataset to prepare the prompts to generate class images on multiple GPUs.
src/diffusers_data_pipeline.py:258
↓ 1 callersClassCLIPCapDataset
customconcept101/evaluate.py:19
↓ 1 callersClassConcatDataset
train.py:344
↓ 1 callersClassCustomDiffusionXFormersAttnProcessor
src/diffusers_model_pipeline.py:323
↓ 1 callersClassFrozenCLIPEmbedderWrapper
Uses the CLIP transformer encoder for text (from Hugging Face)
src/custom_modules.py:226
↓ 1 callersClassWrappedDataset
Wraps an arbitrary object with __len__ and __getitem__ into a pytorch dataset
train.py:315
ClassAbstractEncoder
src/custom_modules.py:218
ClassCLIPImageDataset
customconcept101/evaluate.py:41
ClassCUDACallback
train.py:599
ClassCustomDiffusion
src/model.py:106
ClassCustomDiffusionPipeline
r""" Pipeline for custom diffusion model. This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic
src/diffusers_model_pipeline.py:367
ClassCustomDiffusionXLPipeline
r""" Pipeline for custom diffusion model. This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic
src/diffusers_model_pipeline.py:503
ClassDINOImageDataset
customconcept101/evaluate.py:67
ClassDataModuleFromConfig
train.py:355
ClassImageLogger
train.py:492
ClassMaskBase
src/finetune_data.py:115
ClassSetupCallback
train.py:443