Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use keehun/textual_inversion_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use keehun/textual_inversion_all 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("keehun/textual_inversion_all") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from keehun/textual_inversion_all: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/keehun/textual_inversion_all/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://keehun/textual_inversion_all/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/keehun/textual_inversion_all/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 373a8c3c04093f8dc31ca32a235ec76c2ea570fe18a848ed9aa1921b0d798f7f
- Size of remote file:
- 492 MB
- SHA256:
- 77926999649a3ae50f5a2e50e038f94d3f0dd9895a875e2ad3e70aa8e5c2e30b
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