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-2000/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-2000/optimizer.bin
- Command line
-
hf download hf://RobertLau/lora_dreambooth_example/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/RobertLau/lora_dreambooth_example/resolve/main/checkpoint-2000/optimizer.bin
6.59 MB
- Xet hash:
- e60009f3399610173d9b4e508c20571e428dab143cf0b4f496a175c101b712d9
- Size of remote file:
- 6.59 MB
- SHA256:
- 5f1a3d257826f7ebdf1b1c3a513d31e96fcd95b903eae95304741cab3d6e2965
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