Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/edge-of-realism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/edge-of-realism 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/edge-of-realism", torch_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)
Browse files- Adding `safetensors` variant of this model (266a4a04dc2b100c41d2eee9cb1a835502378edd)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
safety_checker/model.safetensors
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text_encoder/model.safetensors
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unet/diffusion_pytorch_model.safetensors
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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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size 334643276
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