Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use dxli/pink_sunglasses with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dxli/pink_sunglasses 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("dxli/pink_sunglasses") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from dxli/pink_sunglasses: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/dxli/pink_sunglasses/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://dxli/pink_sunglasses/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dxli/pink_sunglasses/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 24c5f79b51b61dec79a4d31de0e6401fb4817ae0f4fa0553c068a25dca642641
- Size of remote file:
- 492 MB
- SHA256:
- 6681100ea4577f715862e841b3571b7c2c114fd0c5279f952e395c72348ce9cc
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