Instructions to use whybeyoung/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use whybeyoung/test 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("whybeyoung/test", 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
| license: apache-2.0 | |
| language: | |
| - zh | |
| datasets: | |
| - gsdf/EasyNegative | |
| metrics: | |
| - bleu | |
| library_name: diffusers | |
| pipeline_tag: image-to-image | |
| tags: | |
| - code | |
| - music | |
| - art | |
| - chemistry | |
| This is readme for the model |