README.md

metadata

library_name: diffusers
pipeline_tag: image-to-image
tags:
  - dit4sr
  - super-resolution
  - diffusion-transformer
base_model: stabilityai/stable-diffusion-3.5-medium

DiT4SR Replication

This repository contains the DiT4SR transformer weights exported from the local dit4sr-replication experiment at checkpoint-150000.

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-replication
• Source checkpoint: checkpoint-150000
• Published artifact: transformer weights only

Loading In DiT4SR

from model_dit4sr.transformer_sd3 import SD3Transformer2DModel

model = SD3Transformer2DModel.from_pretrained("NisargUpadhyay/ImageSuperResolution-replication", 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: Replication/