Instructions to use darrellsilver/movrod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use darrellsilver/movrod 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("darrellsilver/movrod") prompt = "panteleu" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6c771f48d35ef39c4ce1071341474a9ed0426cc1138da031efbe24c777f94c28
- Size of remote file:
- 3.49 MB
- SHA256:
- 8879c90ba0c6ac325492312af9bcdaae1c30fcf0ce7afb8c3daa3a8f8bd7be10
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