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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
safety_checker/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb351a5ded815c3ff744968ad9c6b218d071b9d313d04f35e813b84b4c0ffde8
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size 1215979664
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text_encoder/model.safetensors
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oid sha256:1961cace1bf89f91ffec51f822a6769ec7b3873cdfdab45a9d8f40009b55b01f
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size 492265168
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6381cee71be4df5f0a8ca8d0ab170665376d3181b2e937c9c3491904e390460d
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size 3438225152
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vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6c1d132133a88430108cccd7808e9990b38826ccfd1beed82865136501d7e78
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size 334643268
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