Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use anic87/textual_inversion_32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/textual_inversion_32 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("anic87/textual_inversion_32") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-3000/optimizer.bin from anic87/textual_inversion_32: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/anic87/textual_inversion_32/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://anic87/textual_inversion_32/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/anic87/textual_inversion_32/resolve/main/checkpoint-3000/optimizer.bin
304 MB
- Xet hash:
- 6b2c37dcddae663eed600205746f5efac720f99f09ed80c16670224baae6a92c
- Size of remote file:
- 304 MB
- SHA256:
- 0bce7d915cc37a2131dcae99d6a2a40b3cebd944c995a900a6bf8554349c2fdd
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