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:
- 1f855586e9ee437baf06f99d3e5c06cbb7eff7e1b1ca8fc4e152b908bde574f5
- Size of remote file:
- 1.23 MB
- SHA256:
- 1b9cf37ed0f0f95af2bb95e221f7926bae929fd371c8a4035ce104386e3c5e30
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