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NisargUpadhyay/
ImageSuperResolution-custom-dataset

Name: ImageSuperResolution-custom-dataset
Availability: InStock

diffusion-transformer

image-to-image

stabilityai/stable-diffusion-3.5-medium

finetune

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DiT4SR Custom Dataset

This repository contains the DiT4SR transformer weights exported from the local dit4sr_custom_dataset experiment at checkpoint-190000.

What This Repo Contains

This Hugging Face repo publishes only the transformer/ checkpoint used by SD3Transformer2DModel. It does not include the full Stable Diffusion 3.5 base model, tokenizers, schedulers, or the rest of the DiT4SR inference stack.

Files

transformer/ contains the publishable model weights and config.
source_checkpoint.json records the local source path and checkpoint name used for the upload.

Checkpoint Metadata

Experiment: dit4sr_custom_dataset
Source checkpoint: checkpoint-190000
Published artifact: transformer weights only

Loading In DiT4SR

python

from model_dit4sr.transformer_sd3 import SD3Transformer2DModel

model = SD3Transformer2DModel.from_pretrained("NisargUpadhyay/ImageSuperResolution-custom-dataset", subfolder="transformer")

You still need the rest of the DiT4SR codebase and the base SD3 assets described in the project README.

Related Resources

Project repo: NisargUpadhyayIITJ/Deep-Learning-Course-Project
Training/evaluation dataset repo: NisargUpadhyay/ImageSuperResolution
Matching training subset in the dataset repo: CustomDataset/