metadata

license: apache-2.0
tags:
  - text-to-image

AuraFlow

AuraFlow v0.1 is the fully open-sourced largest flow-based text-to-image generation model.

This model achieves state-of-the-art results on GenEval. Read our blog post for more technical details.

The model is currently in beta. We are working on improving it and the community's feedback is important. Join fal's Discord to give us feedback and stay in touch with the model development.

Usage

$ pip install transformers accelerate protobuf sentencepiece
$ pip install git+https://github.com/huggingface/diffusers.git

from diffusers import AuraFlowPipeline
import torch

pipeline = AuraFlowPipeline(
    "fal/AuraFlow", 
    torch_dtype=torch.float16
).to("cuda")

image = pipeline(
    prompt="close-up portrait of a majestic iguana with vibrant blue-green scales, piercing amber eyes, and orange spiky crest. Intricate textures and details visible on scaly skin. Wrapped in dark hood, giving regal appearance. Dramatic lighting against black background. Hyper-realistic, high-resolution image showcasing the reptile's expressive features and coloration.",
    height=1024,
    width=1024,
    num_inference_steps=50, 
    generator=torch.Generator().manual_seed(666),
    guidance_scale=3.5,
).images[0]