Instructions to use antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui") prompt = "https://huggingface.co/spaces/antonellaavad/LoRA-DreamBooth-Training-UI" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui / checkpoint-100 /pytorch_model.bin
Download checkpoint-100/pytorch_model.bin from antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui: direct link, hf CLI and curl.
- Browser
- Download file 3.42 MB
-
https://huggingface.co/antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui/resolve/main/checkpoint-100/pytorch_model.bin
- Command line
-
hf download hf://antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui/checkpoint-100/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui/resolve/main/checkpoint-100/pytorch_model.bin
3.42 MB
- Xet hash:
- a9446411facc99e41b7a922bd6d539696a6a9338d5814b416e45650af8ca1cbf
- Size of remote file:
- 3.42 MB
- SHA256:
- 87fbe4e04fc7a372725c6c4a4351b3c42669eb8e1a3c55643ab1268f2a057f06
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.