Instructions to use model-hub-nd/klein-9b-c-a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use model-hub-nd/klein-9b-c-a with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("model-hub-nd/klein-9b-c-a", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Upload prompt_embeds/deep/e98e1804c26f4741edfc494dd9fdb0a73de496c15199ad4648b15a4acef4f28c.safetensors with huggingface_hub
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