Image-to-Image
Diffusers
Safetensors
Diffusion Single File
English
rift1_decoder
text-to-image
image-editing
decoder
Instructions to use Rift-ai/Rift.1-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rift-ai/Rift.1-decoder 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("Rift-ai/Rift.1-decoder", 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] - Diffusion Single File
How to use Rift-ai/Rift.1-decoder with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 8a7e846541a12d4018d7c43c586c30124374ba068872a65b270412d44ef98f62
- Size of remote file:
- 465 kB
- SHA256:
- 59e14e56a38c1760de732e31ae6bfdd05fd64e5f3352331653e5b00c6714cf8e
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