Instructions to use Vargol/auraflow0.2-fp16-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vargol/auraflow0.2-fp16-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Vargol/auraflow0.2-fp16-diffusers", 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
- Xet hash:
- 87b10d44b6dca70661e48b722e96ce4dd8ee899b795692e9253881291583fd79
- Size of remote file:
- 2.95 GB
- SHA256:
- decf9b70814ed5e9965bfca9fbd0483462e2bf743790663025b7742f8c014c72
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