Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use JiaxiJiang/textual_inversion_cat2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JiaxiJiang/textual_inversion_cat2 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("JiaxiJiang/textual_inversion_cat2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 78c7dfcb427917d57ca2c371ddd8a7c7898ea389adb1d7db5afb10830e221cc6
- Size of remote file:
- 3.19 kB
- SHA256:
- 000cac0fff109f4409bd06dc26e399de58144ae2db984b87994a7ce8a40e72f6
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