Instructions to use 2weaks/konstantindreambooth-dl9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 2weaks/konstantindreambooth-dl9 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("2weaks/konstantindreambooth-dl9", 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 2weaks/konstantindreambooth-dl9: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/2weaks/konstantindreambooth-dl9/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://2weaks/konstantindreambooth-dl9/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/2weaks/konstantindreambooth-dl9/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 871c2070d39fd7b6d4429d92f4c485648d5e06453d3a4ea6667e59c64f642f1e
- Size of remote file:
- 246 MB
- SHA256:
- 1bbc1705b7eeda3d6861e96950c5c117245d94f04300a9590ada08c43a2e05b8
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