Instructions to use ProCreations/Image-2.1-Calibrated-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ProCreations/Image-2.1-Calibrated-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("ProCreations/Image-2.1-Calibrated-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
Accelerate full 40-step FP8 generation with native precision, measured quality and real-time demo
1081be0 verified Download optimization/comparisons/04.jpg from ProCreations/Image-2.1-Calibrated-FP8: direct link, hf CLI and curl.
- Browser
- Download file 183 kB
-
https://huggingface.co/ProCreations/Image-2.1-Calibrated-FP8/resolve/main/optimization/comparisons/04.jpg
- Command line
-
hf download hf://ProCreations/Image-2.1-Calibrated-FP8/optimization/comparisons/04.jpg
-
curl -L -o 04.jpg https://huggingface.co/ProCreations/Image-2.1-Calibrated-FP8/resolve/main/optimization/comparisons/04.jpg
183 kB

- Xet hash:
- 4ac5a03525119cb9455945211deca87f8f6d2207038e10d88fda092aa128cbe8
- Size of remote file:
- 183 kB
- SHA256:
- ac74b465ef17e6b4609542b88d88fdb8500b0947c7e76300e26446c5d20c22c2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.