Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use MaxReynolds/textual_inversion_patrick with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MaxReynolds/textual_inversion_patrick 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("MaxReynolds/textual_inversion_patrick") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 1fdbc9730e54a0064547e95be0b6439ca773548b3ec3341d0966178f9404c01c
- Size of remote file:
- 304 MB
- SHA256:
- ae0591879052d2476b43e68f5357d9deead0b0fb3d6c9f5bf03f45999df4636c
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