Image-to-Image
Diffusers
Safetensors
English
orbitquant
w4a8
4-bit precision
gptq
quantized
fibo
vgl
structured-prompts
image-editing
arxiv:2607.02461
Instructions to use WaveCut/Fibo-2.0-edit-turbo-OrbitQuant-W4A8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Fibo-2.0-edit-turbo-OrbitQuant-W4A8 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("WaveCut/Fibo-2.0-edit-turbo-OrbitQuant-W4A8", 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
Download assets/latency_and_memory.png from WaveCut/Fibo-2.0-edit-turbo-OrbitQuant-W4A8: direct link, hf CLI and curl.
- Browser
- Download file 114 kB
-
https://huggingface.co/WaveCut/Fibo-2.0-edit-turbo-OrbitQuant-W4A8/resolve/main/assets/latency_and_memory.png
- Command line
-
hf download hf://WaveCut/Fibo-2.0-edit-turbo-OrbitQuant-W4A8/assets/latency_and_memory.png
-
curl -L -o latency_and_memory.png https://huggingface.co/WaveCut/Fibo-2.0-edit-turbo-OrbitQuant-W4A8/resolve/main/assets/latency_and_memory.png
114 kB

- Xet hash:
- 7320166cf5aef919c85f525bd1e4535cb473656679e72f9f927ac0151d4eed9c
- Size of remote file:
- 114 kB
- SHA256:
- e869606c71f0fb76cc54ed4e96bfa7d720330ba198ed8a6f91f8e626395b7ff4
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