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", 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
https-huggingface-co-spaces-antonellaavad-lora-dreambooth-training-ui / checkpoint-200 /pytorch_model.bin
- Xet hash:
- 458df4ca4b04d737c88aa2c834aefab451df0e20714c9b9e42a6facccbc39890
- Size of remote file:
- 3.42 MB
- SHA256:
- a15759f0f402ead92c524a8eb16767b9c7e9e45c521c87347773c187bf17be22
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