Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Yorick/wo_cap_car with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yorick/wo_cap_car with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("Yorick/wo_cap_car") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- a9eb86b4dbb39f768a684cd800fcfd2264b07e3d244bb95e712ffba2c3fd2bff
- Size of remote file:
- 304 MB
- SHA256:
- e2472855c5971b8410b2d08f9e638200fe80c74e8b4a3dda2f6ce6dde831a41f
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