AuraFlow v0.3
AuraFlow v0.3 is the fully open-sourced flow-based text-to-image generation model. The model was trained with more compute compared to the previous version, AuraFlow-v0.2.
Compared to AuraFlow-v0.2, the model is fine-tuned on more aesthetic datasets and now supports various aspect ratio, (now width and height up to 1536 pixels).
Usage
$ pip install transformers accelerate protobuf sentencepiece
$ pip install git+https://github.com/huggingface/diffusers.git
from diffusers import AuraFlowPipeline
import torch
pipeline = AuraFlowPipeline.from_pretrained(
"terminusresearch/auraflow-v0.3",
torch_dtype=torch.float16,
variant="fp16",
).to("cuda")
image = pipeline(
prompt="rempage of the iguana character riding F1, fast and furious, cinematic movie poster",
width=1536,
height=768,
num_inference_steps=50,
generator=torch.Generator().manual_seed(1),
guidance_scale=3.5,
).images[0]
image.save("output.png")
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