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-100/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-100/scheduler.bin
- Command line
-
hf download hf://antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui/checkpoint-100/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui/resolve/main/checkpoint-100/scheduler.bin
563 Bytes
- Xet hash:
- 508e9bc321fb5dcf099b01be531978eb7386fd1b51f7efa8cb61af14ee10b69b
- Size of remote file:
- 563 Bytes
- SHA256:
- 906bdd391189fd16d3160fd1e198eb53687dae580f930cf3f64365609fd5f606
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