Instructions to use alaub/10Eros-Max-fl2va-diffusers-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alaub/10Eros-Max-fl2va-diffusers-transformer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alaub/10Eros-Max-fl2va-diffusers-transformer", 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
- Xet hash:
- 4b797e170571d8e1a50cdf9aa7fc7efef1c17d12fa89f3a6b3a78296f9a410a1
- Size of remote file:
- 5.4 GB
- SHA256:
- b65ccc06ee968714d177ccf1102aaec2b28a70f4efce301f28297ec0fd6cb663
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