Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use krisbock/textual_inversion_ge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krisbock/textual_inversion_ge 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("krisbock/textual_inversion_ge") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from krisbock/textual_inversion_ge: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/krisbock/textual_inversion_ge/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://krisbock/textual_inversion_ge/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/krisbock/textual_inversion_ge/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- 71745874993dc4cf5b20ec2b88a932b135c97b88025d738163a0721e018d2c30
- Size of remote file:
- 304 MB
- SHA256:
- 15a24bf48ed8b03b9709fb74eae3d560d6445a430f124e853df5082247327875
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