Diffusers
Safetensors
OrbitQuantComponentArtifact
orbitquant
quantized
diffusion-transformer
8-bit precision
Instructions to use WaveCut/Z-Image-Turbo-OrbitQuant-W2A3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Z-Image-Turbo-OrbitQuant-W2A3 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-W2A3", 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
Upload Z-Image Turbo OrbitQuant W2A3
Browse files- README.md +7 -7
- SHA256SUMS +6 -6
- assets/image_generation_comparison_matrix.webp +2 -2
- benchmark/summary.json +28 -182
- model_index.json +3 -3
- orbitquant_manifest.json +7 -7
- quantization_config.json +7 -3
README.md
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@@ -77,21 +77,21 @@ The compact benchmark summary records native BF16-vs-OrbitQuant evidence for the
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| Evidence | Value |
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| --- | --- |
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| Comparison matrix | `assets/image_generation_comparison_matrix.webp` |
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| Paired prompt/seed count | `
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| BF16 source generated frames | `0` |
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| OrbitQuant generated frames | `0` |
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## Quantization
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- Method: `orbitquant`
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- Bits: `W2A3`
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- Runtime mode: `
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- Activation kernel backend: `triton_cuda`
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- Activation normalization epsilon: `1e-
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- Quantization device: `cuda`
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- Weight quantization backend: `triton_cuda`
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- Target policy: `z_image`
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| Evidence | Value |
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| --- | --- |
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| Comparison matrix | `assets/image_generation_comparison_matrix.webp` |
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| Paired prompt/seed count | `1` |
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| BF16 source generated samples | `1` |
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| BF16 source generated frames | `0` |
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| BF16 source nonempty outputs | `1` |
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| OrbitQuant generated samples | `1` |
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| OrbitQuant generated frames | `0` |
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| OrbitQuant nonempty outputs | `1` |
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## Quantization
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- Method: `orbitquant`
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- Bits: `W2A3`
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- Runtime mode: `auto_fused`
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- Activation kernel backend: `triton_cuda`
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- Activation normalization epsilon: `1e-10`
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- Quantization device: `cuda`
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- Weight quantization backend: `triton_cuda`
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- Target policy: `z_image`
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e1724c9394bf83ea05da6b457b8072d2bcb3d5a533dafce916da8deb517d3825 orbitquant_rotations.safetensors
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2bda4afcd7266fbe4e0d184690605dd63f9546fc3a1ec0ca88e117387bf6bdbe benchmark/summary.json
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aea099a0445d60c272a2c45a8c4e88fd4b3cedf7181a4b3600873104eb7a7941 model.safetensors
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04da03ff11a91f322d72c88fe5686e7ebf66972de6ed5ab606e5282e682a332f orbitquant_codebooks.safetensors
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cdddf9d2aa7c409cd59d32d14c6d037b4336706bb9f422b45e1a069bda9127fc orbitquant_manifest.json
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e1724c9394bf83ea05da6b457b8072d2bcb3d5a533dafce916da8deb517d3825 orbitquant_rotations.safetensors
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65ec8afff39a6cf80feee2eac2f06fa66e51cd471a8382f4355a04fd74eda0af prompts.json
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a0320d9f96882ee890452ea222e0d4c36db3d5ad57382fc8908a70251d91f614 quantization_config.json
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"weight_bits": 2,
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"weight_quantization_backend": "triton_cuda",
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"synchronize_per_module": false,
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"metrics": {
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"raw_generation_records": "local-only",
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"activation_eps": 1e-12,
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"native_smoke": {
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"proof_format": "orbitquant-native-smoke-v1",
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"comparison_asset_path": "assets/image_generation_comparison_matrix.webp",
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"native_settings": [
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}
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"weight_bits": 2,
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"activation_bits": 3,
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"runtime_mode": "auto_fused",
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"activation_kernel_backend": "triton_cuda",
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"activation_eps": 1e-10,
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"quantization_device": "cuda",
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"weight_quantization_backend": "triton_cuda",
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"quantization_staging_mode": "streaming",
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"synchronize_per_module": false,
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"quantization_elapsed_seconds": 2.160409632138908,
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"orbitquant_seconds": 0.7088581034913659,
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"adaln_seconds": 0.011828072369098663,
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"device_transfer_seconds": 1.4283196232281625,
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"module_device_transfer_count": 270,
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"metrics": {
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"orbitquant": {
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"records": 1,
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"latest_metrics": {
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"generated_samples": 1,
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"wall_time_seconds": 34.435127603821456,
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"peak_vram_bytes": 13014530560
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}
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},
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"original": {
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"records": 1,
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"latest_metrics": {
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"generated_samples": 1,
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"wall_time_seconds": 5.203367706853896,
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"peak_vram_bytes": 23267081728
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}
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}
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},
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"native_smoke": {
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"proof_format": "orbitquant-native-smoke-v1",
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"comparison_asset_path": "assets/image_generation_comparison_matrix.webp",
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"paired_prompt_seed_count": 1,
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
| 62 |
[
|
| 63 |
"z-image-native",
|
| 64 |
"0",
|
| 65 |
"simple-object"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 66 |
]
|
| 67 |
],
|
| 68 |
"native_settings": [
|
|
|
|
| 77 |
]
|
| 78 |
},
|
| 79 |
"orbitquant": {
|
| 80 |
+
"records": 1,
|
| 81 |
+
"generated_samples": 1,
|
| 82 |
"generated_frames": 0,
|
| 83 |
+
"nonempty_output_count": 1,
|
| 84 |
"seeds": [
|
| 85 |
"0"
|
| 86 |
],
|
| 87 |
"prompt_ids": [
|
| 88 |
+
"simple-object"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 89 |
],
|
| 90 |
"pair_keys": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 91 |
[
|
| 92 |
"z-image-native",
|
| 93 |
"0",
|
| 94 |
"simple-object"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 95 |
]
|
| 96 |
],
|
| 97 |
"native_settings": [
|
|
|
|
| 106 |
]
|
| 107 |
}
|
| 108 |
}
|
| 109 |
+
},
|
| 110 |
+
"published_summary": "compact",
|
| 111 |
+
"raw_generation_records": "local-only"
|
| 112 |
}
|
model_index.json
CHANGED
|
@@ -14,10 +14,10 @@
|
|
| 14 |
"weight_bits": 2,
|
| 15 |
"activation_bits": 3,
|
| 16 |
"target_policy": "z_image",
|
| 17 |
-
"runtime_mode": "
|
| 18 |
"activation_kernel_backend": "triton_cuda",
|
|
|
|
| 19 |
"quantization_device": "cuda",
|
| 20 |
"weight_quantization_backend": "triton_cuda",
|
| 21 |
-
"quantization_staging_mode": "
|
| 22 |
-
"activation_eps": 1e-12
|
| 23 |
}
|
|
|
|
| 14 |
"weight_bits": 2,
|
| 15 |
"activation_bits": 3,
|
| 16 |
"target_policy": "z_image",
|
| 17 |
+
"runtime_mode": "auto_fused",
|
| 18 |
"activation_kernel_backend": "triton_cuda",
|
| 19 |
+
"activation_eps": 1e-10,
|
| 20 |
"quantization_device": "cuda",
|
| 21 |
"weight_quantization_backend": "triton_cuda",
|
| 22 |
+
"quantization_staging_mode": "streaming"
|
|
|
|
| 23 |
}
|
orbitquant_manifest.json
CHANGED
|
@@ -14,13 +14,13 @@
|
|
| 14 |
"codebook": "lloyd_max",
|
| 15 |
"codebook_version": 1,
|
| 16 |
"row_norm_dtype": "bfloat16",
|
| 17 |
-
"runtime_mode": "
|
| 18 |
"activation_kernel_backend": "triton_cuda",
|
| 19 |
-
"activation_eps": 1e-
|
| 20 |
"adaln_group_size": 64,
|
| 21 |
"quantization_device": "cuda",
|
| 22 |
"weight_quantization_backend": "triton_cuda",
|
| 23 |
-
"quantization_staging_mode": "
|
| 24 |
"target_policy": "z_image",
|
| 25 |
"adaln_policy": "int4_rtn_group64_bf16_activation",
|
| 26 |
"quantized_modules": [
|
|
@@ -2721,13 +2721,13 @@
|
|
| 2721 |
]
|
| 2722 |
},
|
| 2723 |
"checksums": {
|
| 2724 |
-
"
|
|
|
|
| 2725 |
"model.safetensors": "aea099a0445d60c272a2c45a8c4e88fd4b3cedf7181a4b3600873104eb7a7941",
|
| 2726 |
-
"model_index.json": "
|
| 2727 |
"orbitquant_codebooks.safetensors": "04da03ff11a91f322d72c88fe5686e7ebf66972de6ed5ab606e5282e682a332f",
|
| 2728 |
"orbitquant_rotations.safetensors": "e1724c9394bf83ea05da6b457b8072d2bcb3d5a533dafce916da8deb517d3825",
|
| 2729 |
"prompts.json": "65ec8afff39a6cf80feee2eac2f06fa66e51cd471a8382f4355a04fd74eda0af",
|
| 2730 |
-
"quantization_config.json": "
|
| 2731 |
-
"assets/image_generation_comparison_matrix.webp": "2795c8e4510a596b235bbaf070dc9595d6194e70a61a67d72702fe16eae305ef"
|
| 2732 |
}
|
| 2733 |
}
|
|
|
|
| 14 |
"codebook": "lloyd_max",
|
| 15 |
"codebook_version": 1,
|
| 16 |
"row_norm_dtype": "bfloat16",
|
| 17 |
+
"runtime_mode": "auto_fused",
|
| 18 |
"activation_kernel_backend": "triton_cuda",
|
| 19 |
+
"activation_eps": 1e-10,
|
| 20 |
"adaln_group_size": 64,
|
| 21 |
"quantization_device": "cuda",
|
| 22 |
"weight_quantization_backend": "triton_cuda",
|
| 23 |
+
"quantization_staging_mode": "streaming",
|
| 24 |
"target_policy": "z_image",
|
| 25 |
"adaln_policy": "int4_rtn_group64_bf16_activation",
|
| 26 |
"quantized_modules": [
|
|
|
|
| 2721 |
]
|
| 2722 |
},
|
| 2723 |
"checksums": {
|
| 2724 |
+
"assets/image_generation_comparison_matrix.webp": "87f719a534ba76c19031c82ca761c2fea4e40615f0d1a23f37dd29556ee102aa",
|
| 2725 |
+
"benchmark/summary.json": "2bda4afcd7266fbe4e0d184690605dd63f9546fc3a1ec0ca88e117387bf6bdbe",
|
| 2726 |
"model.safetensors": "aea099a0445d60c272a2c45a8c4e88fd4b3cedf7181a4b3600873104eb7a7941",
|
| 2727 |
+
"model_index.json": "54320a7d5779945db1e5e50b43c11dea40ec5dff74c9dd31a419bda6419160bd",
|
| 2728 |
"orbitquant_codebooks.safetensors": "04da03ff11a91f322d72c88fe5686e7ebf66972de6ed5ab606e5282e682a332f",
|
| 2729 |
"orbitquant_rotations.safetensors": "e1724c9394bf83ea05da6b457b8072d2bcb3d5a533dafce916da8deb517d3825",
|
| 2730 |
"prompts.json": "65ec8afff39a6cf80feee2eac2f06fa66e51cd471a8382f4355a04fd74eda0af",
|
| 2731 |
+
"quantization_config.json": "a0320d9f96882ee890452ea222e0d4c36db3d5ad57382fc8908a70251d91f614"
|
|
|
|
| 2732 |
}
|
| 2733 |
}
|
quantization_config.json
CHANGED
|
@@ -9,7 +9,7 @@
|
|
| 9 |
"codebook_dtype": "float32",
|
| 10 |
"row_norm_dtype": "bfloat16",
|
| 11 |
"activation_norm_dtype": "float32",
|
| 12 |
-
"activation_eps": 1e-
|
| 13 |
"weight_pack_dtype": "uint8",
|
| 14 |
"target_policy": "z_image",
|
| 15 |
"adaln_policy": "int4_rtn",
|
|
@@ -17,6 +17,10 @@
|
|
| 17 |
"modules_to_not_convert": [],
|
| 18 |
"modules_dtype_dict": {},
|
| 19 |
"artifact_format_version": 1,
|
| 20 |
-
"runtime_mode": "
|
| 21 |
-
"activation_kernel_backend": "triton_cuda"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
}
|
|
|
|
| 9 |
"codebook_dtype": "float32",
|
| 10 |
"row_norm_dtype": "bfloat16",
|
| 11 |
"activation_norm_dtype": "float32",
|
| 12 |
+
"activation_eps": 1e-10,
|
| 13 |
"weight_pack_dtype": "uint8",
|
| 14 |
"target_policy": "z_image",
|
| 15 |
"adaln_policy": "int4_rtn",
|
|
|
|
| 17 |
"modules_to_not_convert": [],
|
| 18 |
"modules_dtype_dict": {},
|
| 19 |
"artifact_format_version": 1,
|
| 20 |
+
"runtime_mode": "auto_fused",
|
| 21 |
+
"activation_kernel_backend": "triton_cuda",
|
| 22 |
+
"packed_matmul_block_m": 32,
|
| 23 |
+
"packed_matmul_block_n": 64,
|
| 24 |
+
"packed_matmul_block_k": 64,
|
| 25 |
+
"packed_matmul_num_warps": 8
|
| 26 |
}
|