Instructions to use RobertLau/lora_dreambooth_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobertLau/lora_dreambooth_example with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RobertLau/lora_dreambooth_example") prompt = "a photo of <|tiaowu|> boy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-5000/optimizer.bin from RobertLau/lora_dreambooth_example: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/RobertLau/lora_dreambooth_example/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://RobertLau/lora_dreambooth_example/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/RobertLau/lora_dreambooth_example/resolve/main/checkpoint-5000/optimizer.bin
6.59 MB
- Xet hash:
- ffbe22a36f9a163aab2ce61d5bbb6afdafd4135a89a570d8e6f3bb4ec5890c36
- Size of remote file:
- 6.59 MB
- SHA256:
- 82c2cd29a9fc0c8033d668db0c46acb11a1f51aa293d39dc7f76a3b8067329b0
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