Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/epicrealism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/epicrealism 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/epicrealism", 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
#3
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 sha256:1468da9f45ad1ea1b9961ba5001cc243a858e9332c438e4897bf9dc16bc49d35
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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 sha256:20a7a2640beb92fd410fe3079c7ee9f55d7e0f14f5a476e32277de2e34a731ff
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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 sha256:55ad9628530430eed28c01dcf3c971a29ffe5d657856cb054728b6c956da3037
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size 334643276
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