Instructions to use huemin/fxhash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use huemin/fxhash with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("huemin/fxhash", 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:
- 59bb845b9fad0c3aeb84b4c40502bd1656b433541950b555ea337767258c1418
- Size of remote file:
- 3.44 GB
- SHA256:
- a815e4d5ba64971ebf4e070c8405ecbe33fa1e4ff44be2c653b648a6fdf0634c
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