Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use DexHeim/textual_inversion_face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DexHeim/textual_inversion_face 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("DexHeim/textual_inversion_face") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-3000/optimizer.bin from DexHeim/textual_inversion_face: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/DexHeim/textual_inversion_face/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://DexHeim/textual_inversion_face/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/DexHeim/textual_inversion_face/resolve/main/checkpoint-3000/optimizer.bin
304 MB
- Xet hash:
- 6aaaa212e58a804c8a16d5a7144e601329e1c73765e340786a23aa387595153c
- Size of remote file:
- 304 MB
- SHA256:
- c1a88e35dc77bb8ef640d892c4ce77d3077c72c722ed191c61984daff7daa808
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