Instructions to use hjgp/ALG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/ALG with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hjgp/ALG", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a8b7430b92775e76c47bb25ad5877f9a0130b3fd5a775338bdfd205068b0f20c
- Size of remote file:
- 492 MB
- SHA256:
- 3b57a93987fdbeb530a038e8034ece50afeb7c5aaee5d9f52f21714278b40569
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