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:
- 2343d3a7c81fcecc00c6b4f1539e4c1600342807a0e073af87e31fc07edaa86c
- Size of remote file:
- 1.27 MB
- SHA256:
- 626de284c371e65620adac618a40d1c6d492582ad0d94cead6a7d8ce2a247f71
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