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
Download checkpoint-1000/scheduler.bin from antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui: direct link, hf CLI and curl.
- Browser
- Download file 563 Bytes
-
https://huggingface.co/antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui/resolve/main/checkpoint-1000/scheduler.bin
- Command line
-
hf download hf://antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui/checkpoint-1000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui/resolve/main/checkpoint-1000/scheduler.bin
563 Bytes
- Xet hash:
- 4acf816bbf27a7c2aa9e18dfd646a622bf32b26817deaef5baeaefe6a0ebcec4
- Size of remote file:
- 563 Bytes
- SHA256:
- 77b9ebea123ef27976d26da3da6318c1ad6e54aba8cea7a2c88d3b85e8811d78
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.