Instructions to use AlperKTS/Krea2_FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlperKTS/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("AlperKTS/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
Add config for download tracking
Browse files- config.json +9 -0
config.json
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{
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"model_type": "krea2",
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"format": "safetensors",
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"quantization": "fp8",
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"torch_dtype": "float8_e4m3fn",
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"library": "comfyui",
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"base_model": "Krea 2 OSS Turbo",
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"description": "Metadata file added so Hugging Face can track downloads for this ComfyUI FP8 safetensors model repository."
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}
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