Instructions to use iamplus/agpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iamplus/agpu 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("iamplus/agpu") prompt = "santhanam man" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 828147d49a3abc4772fa07c7cab0ddb5d57bce7f095efe22051e7493e4238f20
- Size of remote file:
- 47.4 MB
- SHA256:
- 7b4213ab5895d73039ffa2f37b85600b376d3d09594758551544a3716407565d
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