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 learned_embeds-steps-3000.bin from dxli/teapot: direct link, hf CLI and curl.
- Browser
- Download file 4 kB
-
https://huggingface.co/dxli/teapot/resolve/main/learned_embeds-steps-3000.bin
- Command line
-
hf download hf://dxli/teapot/learned_embeds-steps-3000.bin
-
curl -L -o learned_embeds-steps-3000.bin https://huggingface.co/dxli/teapot/resolve/main/learned_embeds-steps-3000.bin
4 kB
- Xet hash:
- 39e7ce2c5e284c495527fbd3e60d0fc1f5e45d16a524c61604fefb89acd189e9
- Size of remote file:
- 4 kB
- SHA256:
- d7b2effbd6bb09dcd5684aa9af773c0f265c3c57de07ec61e56b633714f26961
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