Instructions to use SicariusSicariiStuff/flux.1dev-abliteratedv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SicariusSicariiStuff/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("SicariusSicariiStuff/flux.1dev-abliteratedv2", dtype=torch.bfloat16, device_map="cuda") prompt = "flux.1dev-abliteratedv2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Is a Nunchaku version possible?
#1
by stablecollector - opened
Please create the FP4 Nunchaku alternative for 50XX GPUs.
Thank you for doing this work on abliterated.
Hi,
You can use the following repo to quant it:
https://github.com/nunchaku-tech/deepcompressor/tree/main/examples/diffusion
SicariusSicariiStuff changed discussion status to closed