---
license: mit
---

# 🍰 Tiny AutoEncoder for FLUX.1

[TAEF1](https://github.com/madebyollin/taesd) is very tiny autoencoder which uses the same "latent API" as FLUX.1's VAE.
FLUX.1 is useful for real-time previewing of the FLUX.1 generation process.

This repo contains `.safetensors` versions of the TAEF1 weights.

## Using in 🧨 diffusers

```python
import torch
from diffusers import FluxPipeline, AutoencoderTiny

pipe = FluxPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16
)
pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=torch.bfloat16)
pipe.enable_sequential_cpu_offload()

prompt = "slice of delicious New York-style berry cheesecake"
image = pipe(
    prompt,
    guidance_scale=0.0,
    num_inference_steps=4,
    max_sequence_length=256,
).images[0]
image.save("cheesecake.png")
```


![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/630447d40547362a22a969a2/5FbkYmKc4JsULnskQmzLe.jpeg)