Instructions to use stablediffusionapi/blazing-drive-v13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/blazing-drive-v13 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/blazing-drive-v13", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 65cb6abd00d3b29cdd77ba77bbbbba45dfb0c338030bac69069334898861f1ee
- Size of remote file:
- 167 MB
- SHA256:
- 023cd7b8146fc731f6f1c8399efe0a03cd70b840eb6aee6059ace6dfc5f96adc
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