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 | { | |
| "load_seconds": 2.426407459017355, | |
| "torch": "2.14.0+cu130", | |
| "gpu": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition", | |
| "fp8_linears": 224, | |
| "steps": 40, | |
| "cfg": 1, | |
| "extra_quantization": false, | |
| "approximate_cache": false, | |
| "timing": { | |
| "1024": { | |
| "seconds": [ | |
| 5.903008527995553, | |
| 5.9249284460092895, | |
| 5.935668507008813, | |
| 5.946647913951892, | |
| 5.951301124005113 | |
| ], | |
| "mean": 5.932310903794132, | |
| "warmup_seconds": 11.555044600041583, | |
| "peak_gb": 32.590829568 | |
| }, | |
| "2048": { | |
| "seconds": [ | |
| 37.25538438500371, | |
| 37.301657135016285, | |
| 37.31008757499512 | |
| ], | |
| "mean": 37.2890430316717, | |
| "warmup_seconds": 39.20627289195545, | |
| "peak_gb": 53.722432512 | |
| } | |
| }, | |
| "protocol": "CUDA synchronized; batch1; full40steps; includes encoder, denoising and VAE; excludes model load, resolution warmup and file writes. Weights and prefixKVcache unchanged. Compiled mode emulates intermediate precision casts." | |
| } |