Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use zhongzero/dreambooth_updated_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhongzero/dreambooth_updated_data with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zhongzero/dreambooth_updated_data", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from zhongzero/dreambooth_updated_data: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/zhongzero/dreambooth_updated_data/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://zhongzero/dreambooth_updated_data/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/zhongzero/dreambooth_updated_data/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- 231070177d1f7629cdd67eb1905154b1767c49e8e3795a38120282090966b50a
- Size of remote file:
- 6.88 GB
- SHA256:
- 674c0bacb531f728f67ee5ce3f6da2f3ed186763259e872b9f07fd03900b65b3
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