Instructions to use ishan24/test_modelopt_quant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ishan24/test_modelopt_quant with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ishan24/test_modelopt_quant", 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:
- a5895ef7e39517bcdef98d4375832d0ee3071bc43d1119ebea20095b686984f7
- Size of remote file:
- 150 kB
- SHA256:
- 47ceba166545307f1be1a6e4a7b4bea6a1df42889f18b8b730cd8270642a6111
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