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:
- a629927566dfd82734fd1e1ec4893eec6fc94ba727e0023fdbabd8a41a8f48d8
- Size of remote file:
- 57.8 MB
- SHA256:
- 7329f86fcd408f54f42c346c7dd6c2997ee41954283522f1ef4dfb97dcdec8e2
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