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-6000/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-6000/optimizer.bin
- Command line
-
hf download hf://RobertLau/lora_dreambooth_example/checkpoint-6000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/RobertLau/lora_dreambooth_example/resolve/main/checkpoint-6000/optimizer.bin
6.59 MB
- Xet hash:
- fcf3383a44f3314c594e3fef08b6a49f2807f9ede83b93f2c0b4327b798f5f85
- Size of remote file:
- 6.59 MB
- SHA256:
- 5792bbeb5c018106eb5e20c03ed32220740e8343775f6029d0fb16bc8c02b21f
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