Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use sumin-yu/textual_inversion_sumin_one with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sumin-yu/textual_inversion_sumin_one with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("sumin-yu/textual_inversion_sumin_one") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ab99d8c624e959f90c986f6425a34dfc4021344c182872045f79483053475b19
- Size of remote file:
- 304 MB
- SHA256:
- b8fb6dff6c43de5875a80e59e3fda1f9824e6bea2c84c945e83dc8b6d21999cd
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