Text-to-Image
Diffusers
Safetensors
ONNX
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StableDiffusionPipeline
open-diffusion
od-v1
openskyml
Instructions to use openskyml/open-diffusion-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/open-diffusion-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openskyml/open-diffusion-v1", 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
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safety_checker/model.safetensors
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safety_checker/pytorch_model.fp16.safetensors
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text_encoder/model.safetensors
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unet/diffusion_pytorch_model.safetensors
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oid sha256:703a4afa6e7f46526cc4baaf59ea826b17c0572ade247191c445c3017c4fb806
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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:a1d993488569e928462932c8c38a0760b874d166399b14414135bd9c42df5815
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size 334643276
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