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 vae/diffusion_pytorch_model.bin from 2weaks/konstantindreambooth-dl9: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/2weaks/konstantindreambooth-dl9/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://2weaks/konstantindreambooth-dl9/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/2weaks/konstantindreambooth-dl9/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 27ba0d013eebc3c4940cab6aec251d1836ade82d7b11f82768faa443d6636520
- Size of remote file:
- 335 MB
- SHA256:
- e0778237aa46d79f039f5ee67f3a1d455e3a7c60e96aa7bc826e00ea3610fc7e
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