Diffusers
Safetensors
OrbitQuantComponentArtifact
orbitquant
quantized
diffusion-transformer
8-bit precision
Instructions to use WaveCut/Z-Image-Turbo-OrbitQuant-W3A3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Z-Image-Turbo-OrbitQuant-W3A3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/Z-Image-Turbo-OrbitQuant-W3A3", 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
Refresh OrbitQuant runtime usage examples
Browse files- README.md +1 -0
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README.md
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torch_dtype=torch.bfloat16,
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device="cuda",
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image = pipe(
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artifact_dir,
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torch_dtype=torch.bfloat16,
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device="cuda",
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runtime_mode="auto_fused",
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image = pipe(
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356c7effb90c651254795c0444bc0466db9993425a7f89759b672a983ce536c6 assets/image_generation_comparison_matrix.webp
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cff0470f70273b14df9413c35bec2925f40d101c8e45792a36d9ab6ed29409ef benchmark/summary.json
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53a4a4444b217130187c72ccc1ea23011c0b20576d4b88ae96a0448865b9c9e1 model.safetensors
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e02c21ba44253808505a7afa246f4cd08a41a5cc1f37ac43b06a0dbe7cd9e368 README.md
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356c7effb90c651254795c0444bc0466db9993425a7f89759b672a983ce536c6 assets/image_generation_comparison_matrix.webp
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cff0470f70273b14df9413c35bec2925f40d101c8e45792a36d9ab6ed29409ef benchmark/summary.json
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53a4a4444b217130187c72ccc1ea23011c0b20576d4b88ae96a0448865b9c9e1 model.safetensors
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