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license: mit
pipeline_tag: text-to-image
library_name: diffusers
private: true
tags:
- text-to-image
- diffusers
- pytorch
- minit2i
---
# MiniT2I Diffusers Checkpoints
This private repository contains the Diffusers-compatible PyTorch weights for both MiniT2I-B/16 and MiniT2I-L/16. MiniT2I-B/16 uses the JAX checkpoint EMA decay `0.99995`, and MiniT2I-L/16 uses EMA decay `0.9999`; both are exported from step 290K. Load one repository, then select the model at inference time with `model_type`.
## Models
| `model_type` | Model | Directory |
| --- | --- | --- |
| `b16` | MiniT2I-B/16 | `minit2i-b-16/` |
| `l16` | MiniT2I-L/16 | `minit2i-l-16/` |
Aliases such as `b`, `base`, `minit2i-b/16`, `l`, `large`, and `minit2i-l/16` are also supported.
## Usage
```python
import torch
from diffusers import DiffusionPipeline
HUB_MODEL_ID = "MiniT2I/MiniT2I"
pipe = DiffusionPipeline.from_pretrained(
HUB_MODEL_ID,
custom_pipeline=HUB_MODEL_ID,
trust_remote_code=True,
)
image = pipe(
"A lonely astronaut standing on a quiet beach under two moons.",
model_type="b16",
guidance_scale=2.5,
num_inference_steps=100,
torch_dtype=torch.bfloat16,
).images[0]
image.save("minit2i-b16.png")
image = pipe(
"a watercolor painting of a mountain lake at sunrise",
model_type="l16",
guidance_scale=6.0,
num_inference_steps=100,
torch_dtype=torch.bfloat16,
).images[0]
image.save("minit2i-l16.png")
```
The selected submodel is downloaded lazily from this repository, so calling with `model_type="b16"` does not download the L/16 weights.
## Links
- Blog: [Text-to-Image Generation Made Simple](https://peppaking8.github.io/#/post/text-to-image-generation-made-simple)
- PyTorch/Diffusers release: [Hope7Happiness/t2i-release](https://github.com/Hope7Happiness/t2i-release)
- JAX release: [PeppaKing8/minit2i-jax](https://github.com/PeppaKing8/minit2i-jax)
## Related Checkpoints
Original JAX checkpoints are stored separately in private repositories:
- `MiniT2I/MiniT2I-B-16-jax` for MiniT2I-B/16
- `MiniT2I/MiniT2I-L-16-jax` for MiniT2I-L/16
## Citation
```bibtex
@misc{minit2i2026,
title = {MiniT2I: A Minimalist Baseline for Text-to-Image Synthesis},
author = {Wang, Xianbang and Zhao, Hanhong and Lu, Yiyang and Zhou, Kangyang and Ma, Linrui and He, Kaiming},
year = {2026},
url = {https://peppaking8.github.io/#/post/minit2i}
}
```
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