Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use anic87/textual_inversion_well with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/textual_inversion_well 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_well") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from anic87/textual_inversion_well: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/anic87/textual_inversion_well/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://anic87/textual_inversion_well/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/anic87/textual_inversion_well/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- f356266d34c6bc5922724031c44e960cd9e75a26d78f02c66b1a26458cc78e40
- Size of remote file:
- 304 MB
- SHA256:
- 225c9cf89413c37249878d86b600f7c22a0fd0e7a3944ee532c2417021c40cf7
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