Instructions to use hjgp/ACF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/ACF 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/ACF", 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:
- 7eda7f260a482934de76f702109c481b9699c7a2bbe6789248893bd8c65a57f3
- Size of remote file:
- 2.78 GB
- SHA256:
- 9f7abb88d0e88a179a4ac83da534983912a269d3213f02d55d80477c1200e56b
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