Instructions to use Quiho/Krea2_Turbo_FP8_Krea_2_TURBO_checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Quiho/Krea2_Turbo_FP8_Krea_2_TURBO_checkpoint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Quiho/Krea2_Turbo_FP8_Krea_2_TURBO_checkpoint", dtype=torch.bfloat16, device_map="cuda") prompt = "Early 2010s amateur iPhone photo, shot with old iPhone 4/5, harsh direct flash, low resolution, heavy grain, warm color cast, JPEG artifacts, raw homemade style. Completely naked 23 years old woman sitting on the bed in her messy bedroom, spreading her legs wide open towards the camera. Full frontal view, knees bent and apart, pussy fully exposed, relaxed pose, looking at the camera. Casual amateur photo, unfiltered 2010s phone camera aesthetic, photorealistic with visible noise and flash glare on skin, high detail on her naked body and spread legs despite low quality" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload krea2TurboFP8_krea2TURBO.png with huggingface_hub
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