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:
- 57c0f70a49a529b34393f7f42242be92ed8a93de64dd6e1a1fb6460f055fb244
- Size of remote file:
- 47.4 MB
- SHA256:
- a11ca83fe3b95c9f7f427a2b862fea2a76cbea2a363a40ed24ee8a1f5a8acfdc
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