Instructions to use Disty0/FLUX.1-dev-qint8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/FLUX.1-dev-qint8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/FLUX.1-dev-qint8", 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
- Draw Things
- DiffusionBee
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README.md
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- flux
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```shell
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pip install diffusers optimum-quanto
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- flux
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`black-forest-labs/FLUX.1-dev` quantized to INT8 using Optimum Quanto.
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```shell
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pip install diffusers optimum-quanto
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