Instructions to use pain/CalliarGen-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pain/CalliarGen-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pain/CalliarGen-v2", dtype=torch.bfloat16, device_map="cuda") prompt = "الحمدلله" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 1efdc7d4d23221aedbb36d3d3cd84ad900b9cc138cedcfa1f3566cd488365597
- Size of remote file:
- 246 MB
- SHA256:
- 6a34f30098988d85dc0fb0fc272a842ebcf552e2ebc6ce4adbcf3695d08e8a90
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