Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use anic87/textual_inversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/textual_inversion 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") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2500/optimizer.bin from anic87/textual_inversion: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/anic87/textual_inversion/resolve/main/checkpoint-2500/optimizer.bin
- Command line
-
hf download hf://anic87/textual_inversion/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/anic87/textual_inversion/resolve/main/checkpoint-2500/optimizer.bin
304 MB
- Xet hash:
- bd2cc19b3316797214292c0fab52f0b9c1413e0c1a09c4a46952abff07c3123f
- Size of remote file:
- 304 MB
- SHA256:
- f975bf280e8945fb13a6b65949a6ddb3bad26b3b3c9fcd7cc95f02f68ea07164
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