Text-to-Image
Diffusers
Safetensors
English
AuroraIMG2Pipeline
flow-matching
rectified-flow
latent-diffusion
diffusion-transformer
tiny-model
from-scratch
muon
auroraimg
custom_code
Instructions to use AuroraAI-Research/AuroraIMG2-50M-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AuroraAI-Research/AuroraIMG2-50M-Preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AuroraAI-Research/AuroraIMG2-50M-Preview", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
best model OAT
#2 opened 8 days ago
by
klazhe
Demo for this model on Spaces
1
#1 opened 12 days ago
by
multimodalart