Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use codyreading/dreambooth-bear-lawn2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codyreading/dreambooth-bear-lawn2 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-bear-lawn2", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of sks stuffed animal" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from codyreading/dreambooth-bear-lawn2: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/codyreading/dreambooth-bear-lawn2/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://codyreading/dreambooth-bear-lawn2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/codyreading/dreambooth-bear-lawn2/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- e2e70a6696fff1ef706cc1ad68ac9f21c1cdbb5b2d36311725a6f49a0fecce99
- Size of remote file:
- 335 MB
- SHA256:
- c02e0c7c263a4c0630ca3a72380ff55b9e38e0ab41d64dff7bf620a58342bc75
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