Diffusers
Safetensors
OrbitQuantComponentArtifact
orbitquant
quantized
diffusion-transformer
8-bit precision
Instructions to use WaveCut/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A4 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/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A4", 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
Replace artifact with paper-correct codebook v2 and native proof
Browse files- .gitattributes +1 -0
- README.md +11 -11
- SHA256SUMS +8 -8
- assets/video_generation_comparison_matrix.webp +0 -0
- benchmark/summary.json +36 -122
- model.safetensors +1 -1
- model_index.json +5 -4
- orbitquant_codebooks.safetensors +1 -1
- orbitquant_manifest.json +11 -11
- quantization_config.json +8 -3
.gitattributes
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assets/wan-native_seed0_original_subject-consistency_contact_sheet.webp filter=lfs diff=lfs merge=lfs -text
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assets/wan-native_seed0_original_text-rendering.mp4 filter=lfs diff=lfs merge=lfs -text
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assets/wan-native_seed0_original_text-rendering_contact_sheet.webp filter=lfs diff=lfs merge=lfs -text
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assets/wan-native_seed0_original_subject-consistency_contact_sheet.webp filter=lfs diff=lfs merge=lfs -text
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assets/wan-native_seed0_original_text-rendering.mp4 filter=lfs diff=lfs merge=lfs -text
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assets/wan-native_seed0_original_text-rendering_contact_sheet.webp filter=lfs diff=lfs merge=lfs -text
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assets/video_generation_comparison_matrix.webp filter=lfs diff=lfs merge=lfs -text
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README.md
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| Evidence | Value |
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| --- | --- |
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| Comparison matrix | `assets/video_generation_comparison_matrix.webp` |
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## Quantization
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- Method: `orbitquant`
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- Bits: `W4A4`
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- Target policy: `wan`
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- Block size: `paper`
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- Block size policy: `largest_power_of_two_dividing_dim`
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- Codebook: `lloyd_max`
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- Codebook version: `
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- Quantized transformer modules: `300`
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- AdaLN INT4 modules: `0`
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- Skipped modules: `6`
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| Evidence | Value |
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| --- | --- |
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| Comparison matrix | `assets/video_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 | `81` |
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| BF16 source nonempty outputs | `1` |
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| OrbitQuant generated samples | `1` |
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| OrbitQuant generated frames | `81` |
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| OrbitQuant nonempty outputs | `1` |
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## Quantization
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- Method: `orbitquant`
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- Bits: `W4A4`
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- Runtime mode: `auto_fused`
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- Activation kernel backend: `auto`
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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: `wan`
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- Block size: `paper`
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- Block size policy: `largest_power_of_two_dividing_dim`
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- Codebook: `lloyd_max`
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- Codebook version: `2`
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- Quantized transformer modules: `300`
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- AdaLN INT4 modules: `0`
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- Skipped modules: `6`
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4d619eba696d82dbe9725c016cd40307324250e59e3c885637bbcedb474f3171 orbitquant_manifest.json
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b01eb3abccf0db3cb1699c09033db918ceb7886cd9b6b6d4f03304ed330ddbc8 prompts.json
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f8a5a7dc5e808adade3f064fa556d535d4bdc5c13a778552929347939f2fc97c quantization_config.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 77 |
[
|
| 78 |
"wan-native",
|
| 79 |
"0",
|
| 80 |
"simple-motion"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 81 |
]
|
| 82 |
],
|
| 83 |
"native_settings": [
|
| 84 |
{
|
| 85 |
+
"export_fps": 16,
|
|
|
|
|
|
|
| 86 |
"frames": 81,
|
|
|
|
| 87 |
"guidance": 5.0,
|
| 88 |
+
"height": 480,
|
| 89 |
+
"steps": 50,
|
| 90 |
+
"suite": "wan-native",
|
| 91 |
+
"width": 832
|
| 92 |
}
|
| 93 |
]
|
| 94 |
}
|
| 95 |
}
|
| 96 |
+
},
|
| 97 |
+
"published_summary": "compact",
|
| 98 |
+
"raw_generation_records": "local-only"
|
| 99 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 757753432
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5778da463b35c5c68761c7307e05634f3c818e2a05d481eeb50799cceb376889
|
| 3 |
size 757753432
|
model_index.json
CHANGED
|
@@ -13,11 +13,12 @@
|
|
| 13 |
"rotations": "orbitquant_rotations.safetensors",
|
| 14 |
"weight_bits": 4,
|
| 15 |
"activation_bits": 4,
|
|
|
|
| 16 |
"target_policy": "wan",
|
| 17 |
-
"runtime_mode": "
|
| 18 |
-
"activation_kernel_backend": "
|
|
|
|
| 19 |
"quantization_device": "cuda",
|
| 20 |
"weight_quantization_backend": "triton_cuda",
|
| 21 |
-
"quantization_staging_mode": "
|
| 22 |
-
"activation_eps": 1e-12
|
| 23 |
}
|
|
|
|
| 13 |
"rotations": "orbitquant_rotations.safetensors",
|
| 14 |
"weight_bits": 4,
|
| 15 |
"activation_bits": 4,
|
| 16 |
+
"codebook_version": 2,
|
| 17 |
"target_policy": "wan",
|
| 18 |
+
"runtime_mode": "auto_fused",
|
| 19 |
+
"activation_kernel_backend": "auto",
|
| 20 |
+
"activation_eps": 1e-10,
|
| 21 |
"quantization_device": "cuda",
|
| 22 |
"weight_quantization_backend": "triton_cuda",
|
| 23 |
+
"quantization_staging_mode": "streaming"
|
|
|
|
| 24 |
}
|
orbitquant_codebooks.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 576
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2b534248778a59626b9c21e32ccf4760d4061a06b6aa7fcfdacb5a37a660605e
|
| 3 |
size 576
|
orbitquant_manifest.json
CHANGED
|
@@ -12,15 +12,15 @@
|
|
| 12 |
"block_size": "paper",
|
| 13 |
"block_size_policy": "largest_power_of_two_dividing_dim",
|
| 14 |
"codebook": "lloyd_max",
|
| 15 |
-
"codebook_version":
|
| 16 |
"row_norm_dtype": "bfloat16",
|
| 17 |
-
"runtime_mode": "
|
| 18 |
-
"activation_kernel_backend": "
|
| 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": "wan",
|
| 25 |
"adaln_policy": "int4_rtn_group64_bf16_activation",
|
| 26 |
"quantized_modules": [
|
|
@@ -3784,13 +3784,13 @@
|
|
| 3784 |
]
|
| 3785 |
},
|
| 3786 |
"checksums": {
|
| 3787 |
-
"
|
| 3788 |
-
"
|
| 3789 |
-
"
|
| 3790 |
-
"
|
|
|
|
| 3791 |
"orbitquant_rotations.safetensors": "b7b2d1e28dd66554c2539d9152b63938a86f1fae0d65664a0df786313dee5dd9",
|
| 3792 |
"prompts.json": "b01eb3abccf0db3cb1699c09033db918ceb7886cd9b6b6d4f03304ed330ddbc8",
|
| 3793 |
-
"quantization_config.json": "
|
| 3794 |
-
"assets/video_generation_comparison_matrix.webp": "c7d0a00ee273efd217df7a3d4c38aae28065af27a6d9179d8b8cbfae762f2551"
|
| 3795 |
}
|
| 3796 |
}
|
|
|
|
| 12 |
"block_size": "paper",
|
| 13 |
"block_size_policy": "largest_power_of_two_dividing_dim",
|
| 14 |
"codebook": "lloyd_max",
|
| 15 |
+
"codebook_version": 2,
|
| 16 |
"row_norm_dtype": "bfloat16",
|
| 17 |
+
"runtime_mode": "auto_fused",
|
| 18 |
+
"activation_kernel_backend": "auto",
|
| 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": "wan",
|
| 25 |
"adaln_policy": "int4_rtn_group64_bf16_activation",
|
| 26 |
"quantized_modules": [
|
|
|
|
| 3784 |
]
|
| 3785 |
},
|
| 3786 |
"checksums": {
|
| 3787 |
+
"assets/video_generation_comparison_matrix.webp": "de523743fa4c42852524cd7635d6ace1d11149305aa8615ffd788a4bf59aeb46",
|
| 3788 |
+
"benchmark/summary.json": "14966a818ef2b61424bf02154a0414bdad5c4583d444dcbafaf87b056cde6dfe",
|
| 3789 |
+
"model.safetensors": "5778da463b35c5c68761c7307e05634f3c818e2a05d481eeb50799cceb376889",
|
| 3790 |
+
"model_index.json": "923430fc4a686c5d0a5f1a82d5b3b40eeeececfc3773eb26a31cf4668b3f70a3",
|
| 3791 |
+
"orbitquant_codebooks.safetensors": "2b534248778a59626b9c21e32ccf4760d4061a06b6aa7fcfdacb5a37a660605e",
|
| 3792 |
"orbitquant_rotations.safetensors": "b7b2d1e28dd66554c2539d9152b63938a86f1fae0d65664a0df786313dee5dd9",
|
| 3793 |
"prompts.json": "b01eb3abccf0db3cb1699c09033db918ceb7886cd9b6b6d4f03304ed330ddbc8",
|
| 3794 |
+
"quantization_config.json": "f8a5a7dc5e808adade3f064fa556d535d4bdc5c13a778552929347939f2fc97c"
|
|
|
|
| 3795 |
}
|
| 3796 |
}
|
quantization_config.json
CHANGED
|
@@ -6,10 +6,11 @@
|
|
| 6 |
"rotation_seed": 0,
|
| 7 |
"block_size": "paper",
|
| 8 |
"codebook": "lloyd_max",
|
|
|
|
| 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": "wan",
|
| 15 |
"adaln_policy": "int4_rtn",
|
|
@@ -17,6 +18,10 @@
|
|
| 17 |
"modules_to_not_convert": [],
|
| 18 |
"modules_dtype_dict": {},
|
| 19 |
"artifact_format_version": 1,
|
| 20 |
-
"runtime_mode": "
|
| 21 |
-
"activation_kernel_backend": "
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
}
|
|
|
|
| 6 |
"rotation_seed": 0,
|
| 7 |
"block_size": "paper",
|
| 8 |
"codebook": "lloyd_max",
|
| 9 |
+
"codebook_version": 2,
|
| 10 |
"codebook_dtype": "float32",
|
| 11 |
"row_norm_dtype": "bfloat16",
|
| 12 |
"activation_norm_dtype": "float32",
|
| 13 |
+
"activation_eps": 1e-10,
|
| 14 |
"weight_pack_dtype": "uint8",
|
| 15 |
"target_policy": "wan",
|
| 16 |
"adaln_policy": "int4_rtn",
|
|
|
|
| 18 |
"modules_to_not_convert": [],
|
| 19 |
"modules_dtype_dict": {},
|
| 20 |
"artifact_format_version": 1,
|
| 21 |
+
"runtime_mode": "auto_fused",
|
| 22 |
+
"activation_kernel_backend": "auto",
|
| 23 |
+
"packed_matmul_block_m": 64,
|
| 24 |
+
"packed_matmul_block_n": 64,
|
| 25 |
+
"packed_matmul_block_k": 128,
|
| 26 |
+
"packed_matmul_num_warps": 4
|
| 27 |
}
|