Text-to-Image
Diffusers
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/pony-realism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/pony-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/pony-realism", 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
#1
by SFconvertbot - opened
text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fcc6808c887f220ef5bdd0f861bd518b53f63986f0e11146c2eb85b83483b903
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size 246144152
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text_encoder_2/model.safetensors
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oid sha256:ae0d09dd53292614f9b00e3c9426d2039e6caea8554735ec5cd5fb8ecd704c44
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size 1389382176
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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:a1e9acd7f753166c26b436e8b47af978421990cfc4a6d9fc35947f4f5e244842
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size 5135149760
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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 sha256:6353737672c94b96174cb590f711eac6edf2fcce5b6e91aa9d73c5adc589ee48
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size 167335342
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