Text-to-Image
Diffusers
ONNX
English
ORTStableDiffusionXLPipeline
art
stable-diffusion-xl
onnxruntime-directml
Instructions to use greentree/playground-v2-olive-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use greentree/playground-v2-olive-optimized with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("greentree/playground-v2-olive-optimized", 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
Download vae_decoder/model.onnx from greentree/playground-v2-olive-optimized: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/greentree/playground-v2-olive-optimized/resolve/main/vae_decoder/model.onnx
- Command line
-
hf download hf://greentree/playground-v2-olive-optimized/vae_decoder/model.onnx
-
curl -L -o model.onnx https://huggingface.co/greentree/playground-v2-olive-optimized/resolve/main/vae_decoder/model.onnx
102 MB
- Xet hash:
- 873a90d4c2e95936a2b9e7d980524e813322348e2ef6f9c5c17acfaa31f6aae4
- Size of remote file:
- 102 MB
- SHA256:
- 7c41488c0a377d523b996e351b6e239c0a310258112d792a5e01098baee5f810
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