Instructions to use greenarcade/dreambooth-now with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use greenarcade/dreambooth-now with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("greenarcade/dreambooth-now", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from greenarcade/dreambooth-now: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/greenarcade/dreambooth-now/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://greenarcade/dreambooth-now/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/greenarcade/dreambooth-now/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- f9f0a347fb764da2026a6f31242cf75609e82fa3fdaa2c2bb00df90dc870a84d
- Size of remote file:
- 246 MB
- SHA256:
- a908a5942703c54613eba3c89a07efb727b73b4669e2f6b9c110f20908d944b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.