Instructions to use csssss/com2ai-klein-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use csssss/com2ai-klein-4b 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("csssss/com2ai-klein-4b", 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
- Xet hash:
- 33b4a3902b191ee6e079ed74c51dd42d082a89d215c35ad9cbdd4f8c06b777a7
- Size of remote file:
- 2.82 GB
- SHA256:
- bfdce60a5af0230b0ed6d960fb9aa96366d771337ed7d345319d837f673c3abb
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