Instructions to use aoxo/flux.1dev-abliteratedv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aoxo/flux.1dev-abliteratedv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aoxo/flux.1dev-abliteratedv2", 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:
- f731b97c5a32018dee57099de601c50d2ca3f7f642ddfc5e217569174f428ef9
- Size of remote file:
- 4.97 GB
- SHA256:
- c247170971e3c22f5d4dba67716a132668cdd8df3019b6e605a081cc20f0464a
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