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
| { | |
| "ok": true, | |
| "missing": [], | |
| "transformer_shards": [ | |
| "/tmp/klein-diffusers-artifacts/flux2-klein9b-c-a-bf16/transformer/diffusion_pytorch_model-00001-of-00005.safetensors", | |
| "/tmp/klein-diffusers-artifacts/flux2-klein9b-c-a-bf16/transformer/diffusion_pytorch_model-00002-of-00005.safetensors", | |
| "/tmp/klein-diffusers-artifacts/flux2-klein9b-c-a-bf16/transformer/diffusion_pytorch_model-00003-of-00005.safetensors", | |
| "/tmp/klein-diffusers-artifacts/flux2-klein9b-c-a-bf16/transformer/diffusion_pytorch_model-00004-of-00005.safetensors", | |
| "/tmp/klein-diffusers-artifacts/flux2-klein9b-c-a-bf16/transformer/diffusion_pytorch_model-00005-of-00005.safetensors" | |
| ], | |
| "transformer_tensor_count": 233, | |
| "transformer_dtypes": [ | |
| "torch.bfloat16" | |
| ] | |
| } | |