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:
- 08a8e3d97d11c85ad5d4eeab5c44a241eae2a377c0c81d9cb0e2a707a87b61c9
- Size of remote file:
- 3.42 MB
- SHA256:
- e4805224e5725c4bf4c6e50d5cb4f1cfe39b7ed3c344d98242d9ea4ca153affa
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