Instructions to use bitspirit3/SD-Ranni-dreambooth-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bitspirit3/SD-Ranni-dreambooth-finetune with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bitspirit3/SD-Ranni-dreambooth-finetune", 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 unet/diffusion_pytorch_model.bin from bitspirit3/SD-Ranni-dreambooth-finetune: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/bitspirit3/SD-Ranni-dreambooth-finetune/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://bitspirit3/SD-Ranni-dreambooth-finetune/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/bitspirit3/SD-Ranni-dreambooth-finetune/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 97a6c19f6e76dca666932e3f0c6a887e7cdb7a3b84b84a9e50fd7ae83138d6e6
- Size of remote file:
- 3.44 GB
- SHA256:
- 5a6d4e0f9bb63da12c17207b89c84c1a53b170ead17298fe6972c32e8395f7c9
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