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:
- b3ee1ba2f7c433d0d09d45dfe5439d55fec3c0df72a509d639b3d9cf9b73a22a
- Size of remote file:
- 10.3 GB
- SHA256:
- 25d2c598325f3297987acd159bff5abf8fa8a475ff88164640810d8eb6238982
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