Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use JC-Hexa/textual_inversion_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JC-Hexa/textual_inversion_cat 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("JC-Hexa/textual_inversion_cat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b8ff74842a4215b42583581d5d123b79f770b56a0ed13f66f067fac58476d7a6
- Size of remote file:
- 492 MB
- SHA256:
- 5f04c095c270b38307d0d092e78869f788333b24b3fffc13f9dfb79386bed786
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