Instructions to use paulcha1025/dji-mini-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use paulcha1025/dji-mini-2 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("paulcha1025/dji-mini-2") prompt = "Drone called 'DJI mini 2' flying in the sky" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7ab09755cf0fb55160852368a0f6891fbe0baed9057745d0a6329a12d5f1ad4a
- Size of remote file:
- 3.49 MB
- SHA256:
- be09eb7fc8b67488410c39625d18d6f8a1b89cf108904369f32994ac174e0385
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