Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use dasolj/textual_inversion_bench with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dasolj/textual_inversion_bench 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("dasolj/textual_inversion_bench") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from dasolj/textual_inversion_bench: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/dasolj/textual_inversion_bench/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://dasolj/textual_inversion_bench/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dasolj/textual_inversion_bench/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- 42533888bf4423c4dd54ed4080e073441938080a2c2c2c4ae1c6f15b5d6e0dfd
- Size of remote file:
- 304 MB
- SHA256:
- 44b00125f962d4654ca7195a73d7685af700a2076bc917d658cf2e4d2265a22b
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