Instructions to use antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("antonellaavad/https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui") prompt = "https://huggingface.co/spaces/antonellaavad/LoRA-DreamBooth-Training-UI" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fdba116804d0d4c8b1871c30e7bd3abf4a421985d604f3a92357a8f0a5f6705e
- Size of remote file:
- 3.49 MB
- SHA256:
- 291e211862d9ab046fce8a71f8149b1fd5d4de3e130c9c1e0d87699442736b0a
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