Instructions to use mcvertix/dreembooth_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mcvertix/dreembooth_output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mcvertix/dreembooth_output") prompt = "penvink laying and standing on the stony ground, with arctic landscape in the background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_0.png from mcvertix/dreembooth_output: direct link, hf CLI and curl.
- Browser
- Download file 428 kB
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https://huggingface.co/mcvertix/dreembooth_output/resolve/main/image_0.png
- Command line
-
hf download hf://mcvertix/dreembooth_output/image_0.png
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curl -L -o image_0.png https://huggingface.co/mcvertix/dreembooth_output/resolve/main/image_0.png
428 kB
