Instructions to use Clybius/FLUX.1-Krea-dev-scaled-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Clybius/FLUX.1-Krea-dev-scaled-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Clybius/FLUX.1-Krea-dev-scaled-fp8", 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
Question
#2
by yamatazen - opened
Is this better than Comfy-Org's version?
Not yet, I'll be uploading a version which utilizes TPEC-Quant (my new FP8 quant method) to better match BF16/FP16 results, so check back in a few hours!