Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use Sangrish/textual_inversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sangrish/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("Sangrish/textual_inversion") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1500/optimizer.bin from Sangrish/textual_inversion: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/Sangrish/textual_inversion/resolve/main/checkpoint-1500/optimizer.bin
- Command line
-
hf download hf://Sangrish/textual_inversion/checkpoint-1500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Sangrish/textual_inversion/resolve/main/checkpoint-1500/optimizer.bin
304 MB
- Xet hash:
- 09edf037008ad9cca694663f71c666cc967414daef2fb77dc4c2127fcb249d9b
- Size of remote file:
- 304 MB
- SHA256:
- 7d621c31edf119251de03d8f922028d864d4710ce1bfe0a54443a987d2fd7e9b
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