Instructions to use mayurmistry/evtoldar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mayurmistry/evtoldar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mayurmistry/evtoldar", dtype=torch.bfloat16, device_map="cuda") prompt = "evtoldar vehicle" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 46f69413df70b9f44ddc913de6cdc8b93ed7d719972ae2fda180c0e67c9f1091
- Size of remote file:
- 492 MB
- SHA256:
- 4e73ca58f5c88b09cb4f6c808918401b1174c1368ac425e488a2b91d3ed4b53d
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