Instructions to use sanjay7178/diffscaler-XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sanjay7178/diffscaler-XL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sanjay7178/diffscaler-XL", 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:
- 6d78c4a1f7dd38a2b9d90d03abed42450f1ce16bf02078d3e3352c0b8857e2ac
- Size of remote file:
- 167 MB
- SHA256:
- 1061a1f631636cb6e970935ada5f8ae1c17a284e7d6ae659f071abccbee077fd
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