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:
- 08e8dd3385ee44c2965cc83dc90fc5c8955fbd2cae5980cb795640c694b45348
- Size of remote file:
- 593 MB
- SHA256:
- fab2efee5cd4429de2a0265281c871b108facdf72c89c58430b0f7ae5cac27b9
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