Image-to-Image
Diffusers
Safetensors
PyTorch
flux2
flux
image-upscaling
latent-upscaling
super-resolution
diffusion
flow-matching
rectified-flow
generative-models
image-generation
Instructions to use MinhNH232331M/FlowUpscaler-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MinhNH232331M/FlowUpscaler-diffusers 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("MinhNH232331M/FlowUpscaler-diffusers", 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 demo_images/compare_color_fix.png from MinhNH232331M/FlowUpscaler-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 964 kB
-
https://huggingface.co/MinhNH232331M/FlowUpscaler-diffusers/resolve/main/demo_images/compare_color_fix.png
- Command line
-
hf download hf://MinhNH232331M/FlowUpscaler-diffusers/demo_images/compare_color_fix.png
-
curl -L -o compare_color_fix.png https://huggingface.co/MinhNH232331M/FlowUpscaler-diffusers/resolve/main/demo_images/compare_color_fix.png
964 kB

- Xet hash:
- aaf92169d5965cc4f63268d8952d4df45e71b732bc204cfe4774d40e538de4a9
- Size of remote file:
- 964 kB
- SHA256:
- 91c5a5a7b9f8b3e9ebbc9c7c60c1e590b1470283ffb0b7cc8e1e3d7e4ab6b565
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.