Text-to-Image
Diffusers
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/dynavision-xl-v0610 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/dynavision-xl-v0610 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/dynavision-xl-v0610", 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
text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:be9258957d10a7d4657ac87eaa6767953d7c0e9d0fe535a53cd2b77e79f8e85a
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text_encoder_2/model.safetensors
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oid sha256:e1ef442a4954fad0505319241956f3e66b32c42ba6259d87d2150747467c661f
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size 1389382176
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unet/diffusion_pytorch_model.safetensors
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oid sha256:9ac7c21f5a13d91fe0cd379fdf37d2f15e3abef4d8c84a413f24f0722663f99a
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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 sha256:0c800edef1821ae601e7fde7497203f6321d2ca532beddf03c745835d021d5c9
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size 167335342
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