Instructions to use hf-internal-testing/lora_dreambooth_dog_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/lora_dreambooth_dog_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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hf-internal-testing/lora_dreambooth_dog_example") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/optimizer.bin from hf-internal-testing/lora_dreambooth_dog_example: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/hf-internal-testing/lora_dreambooth_dog_example/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://hf-internal-testing/lora_dreambooth_dog_example/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hf-internal-testing/lora_dreambooth_dog_example/resolve/main/checkpoint-100/optimizer.bin
6.59 MB
- Xet hash:
- 06b54c338501e0cf448b72a77ce2b5877e8a22a6735ae16d7fda1d99f07d0a7f
- Size of remote file:
- 6.59 MB
- SHA256:
- b2d1b66fb37cafba3c4df4f89edb6b5f968b17915863c64aa29bf682e977b248
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