Instructions to use ironjr/RealisticVisionV5-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ironjr/RealisticVisionV5-1 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("ironjr/RealisticVisionV5-1", 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:
- efbe573d0abf0a87edb16d218532e8846f6f0b4abd0abf0d32f1a44b161aa901
- Size of remote file:
- 335 MB
- SHA256:
- bbbda85f97b58b1dff11970a9cc9b69ab92e322a16ae0b667e57e186d9587062
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