Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use dxli/teapot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dxli/teapot 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/teapot") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/pytorch_model.bin from dxli/teapot: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/dxli/teapot/resolve/main/checkpoint-2000/pytorch_model.bin
- Command line
-
hf download hf://dxli/teapot/checkpoint-2000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dxli/teapot/resolve/main/checkpoint-2000/pytorch_model.bin
492 MB
- Xet hash:
- 36ce604e29fbf4884073f4213eed7b6235b6cc19440facfa0db0d65928e24ce4
- Size of remote file:
- 492 MB
- SHA256:
- 101e160915b56af500d71aa1db3cc877ea118e07c523d6c86bf7ba04cfe198fa
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