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-2500.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-2500.bin
- Command line
-
hf download hf://dxli/teapot/learned_embeds-steps-2500.bin
-
curl -L -o learned_embeds-steps-2500.bin https://huggingface.co/dxli/teapot/resolve/main/learned_embeds-steps-2500.bin
4 kB
- Xet hash:
- 5dee6f42f14ac22b8a14d6d104f7e17dd81dc9c6a93b2e4de40c75649a27bfa2
- Size of remote file:
- 4 kB
- SHA256:
- 19e0ef50a05b413be2eef19759bc71fc0c4a9d21f53e0d5f488db2e390dc95db
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