Instructions to use HusseinHE/ramy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HusseinHE/ramy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HusseinHE/ramy", dtype=torch.bfloat16, device_map="cuda") prompt = "e3t" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 64034c456a37066d3afbe8b2d6722ee025058691b8866fee19a775d5e5b11578
- Size of remote file:
- 2.13 GB
- SHA256:
- 425e61834147e4bd8f53917157bba44cef578ec3c0982ea27bfbe164187aae2e
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