Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Govern/textual_inversion_bicycle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Govern/textual_inversion_bicycle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("Govern/textual_inversion_bicycle") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- f9d03923b3639925ca4debc93b9a4ffad39c38aa931a28313774c833d912e0c4
- Size of remote file:
- 304 MB
- SHA256:
- 99390e661787cdb5420adf307cbc47fc59983377edd917d851e0cd6a98ac0cf5
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