Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/erotic-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/erotic-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/erotic-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
- Draw Things
- DiffusionBee
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
safety_checker/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:08902f19b1cfebd7c989f152fc0507bef6898c706a91d666509383122324b511
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size 608018440
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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 sha256:6e398dece927f5bc73201a0f2d6a18200f9e391176974608534e374c180448be
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size 246144864
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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 sha256:2aa9114dd8d2fa08869c9cdfe7a57736b946c322d25133b2bc0ed7d958ee47b2
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size 1719125304
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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:ff75aed783b6a4aad5aae01d7b7746478e57aa54e8b61d2b62acbe1059e34367
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size 167335342
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