Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/realistic-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/realistic-vision with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/realistic-vision", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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 sha256:11cfe53105625af8c00faac32a430626641cce686454f3c39d837f14397d858b
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size 1215981832
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9aca8ebffe36f6bfe69b7cf7617f1e619139d8362111854b45b28cdee9a56dea
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size 492265880
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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:c921f91410f538194cd53d47907c9421c22af389113a160cc2643d1c39c4e1d4
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size 3438167536
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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:fc436097e5cbb105c44df4403ae84acf7e81de1f64acfedc334888e9a8eea223
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size 334643268
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