Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use codyreading/dreambooth-duck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codyreading/dreambooth-duck with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codyreading/dreambooth-duck", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of sks toy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from codyreading/dreambooth-duck: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/codyreading/dreambooth-duck/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://codyreading/dreambooth-duck/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/codyreading/dreambooth-duck/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 8a5ec9f6f52ceb49ac4df1687c55d1fcf215f11571595c078e6d32702e2959b8
- Size of remote file:
- 492 MB
- SHA256:
- fc9d26d331301175c86490af9dc34ea82a53a079e77faebaf7f857c251cb5622
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