Instructions to use cusiman/Krea2_FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cusiman/Krea2_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("cusiman/Krea2_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
| { | |
| "model_type": "krea2", | |
| "format": "safetensors", | |
| "quantization": "fp8", | |
| "torch_dtype": "float8_e4m3fn", | |
| "library": "comfyui", | |
| "base_model": "Krea 2 OSS Turbo", | |
| "description": "Metadata file added so Hugging Face can track downloads for this ComfyUI FP8 safetensors model repository." | |
| } | |