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:
- 6a1d304d75b107f4643a7c730493ca08a0827a4872af85e87bdcd475b97d7bda
- Size of remote file:
- 304 MB
- SHA256:
- 6bb1540c58ba4a46e0db44a3fde335e96c58d0cdf9dd1f0db16c5d7a3f01f6ae
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