Instructions to use tdvipp/dreambooth-lora-diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tdvipp/dreambooth-lora-diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tdvipp/dreambooth-lora-diffuser") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-300/optimizer.bin from tdvipp/dreambooth-lora-diffuser: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/tdvipp/dreambooth-lora-diffuser/resolve/main/checkpoint-300/optimizer.bin
- Command line
-
hf download hf://tdvipp/dreambooth-lora-diffuser/checkpoint-300/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/tdvipp/dreambooth-lora-diffuser/resolve/main/checkpoint-300/optimizer.bin
6.59 MB
- Xet hash:
- 33a2cd1f0eaaaa5c2b6070c8b82fae4bdaf884b5af5702bb1a8e6f742f7a59e9
- Size of remote file:
- 6.59 MB
- SHA256:
- 233c68205f03ace67340effed24998b8dadcb9c99e0d566057ebe823985b09f8
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