Instructions to use Avener/RealTime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Avener/RealTime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Avener/RealTime", 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
metadata
license: apache-2.0
datasets:
- facebook/natural_reasoning
language:
- en
metrics:
- code_eval
base_model:
- deepseek-ai/DeepSeek-R1
new_version: google/gemma-3-27b-it
library_name: diffusers
tags:
- art