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
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- facebook/natural_reasoning
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language:
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- en
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metrics:
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- code_eval
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base_model:
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- deepseek-ai/DeepSeek-R1
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new_version: google/gemma-3-27b-it
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library_name: diffusers
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tags:
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- art
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---
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