Upload creaprompt_UNet_OrbitQuant_W4A4_projio_report.txt
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creaprompt_UNet_OrbitQuant_W4A4_projio_report.txt
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| 1 |
+
OrbitQuant SDXL UNet-only custom export W4A4
|
| 2 |
+
========================================================================================================================
|
| 3 |
+
Source: /content/creaprompt_sdxl/creapromptLightning_creapromtHypersdxlV1.safetensors
|
| 4 |
+
Output: /content/creaprompt_sdxl/orbitquant_unet/creaprompt_UNet_OrbitQuant_W4A4_projio.safetensors
|
| 5 |
+
Output file size: 1,826,788,784 / 1.701 GiB
|
| 6 |
+
|
| 7 |
+
Original UNet
|
| 8 |
+
------------------------------------------------------------------------------------------------------------------------
|
| 9 |
+
UNet keys: 1,680
|
| 10 |
+
UNet params: 2,567,463,684
|
| 11 |
+
UNet FP16: 5,134,927,368 / 4.782 GiB
|
| 12 |
+
|
| 13 |
+
Targeted OrbitQuant weights
|
| 14 |
+
------------------------------------------------------------------------------------------------------------------------
|
| 15 |
+
Target keys: 722
|
| 16 |
+
Target params: 2,207,744,000
|
| 17 |
+
Target FP16: 4,415,488,000 / 4.112 GiB
|
| 18 |
+
Target share: 85.989298% of UNet params
|
| 19 |
+
Input dims: [640, 1280, 2048, 2560, 5120]
|
| 20 |
+
|
| 21 |
+
Custom stored size estimate
|
| 22 |
+
------------------------------------------------------------------------------------------------------------------------
|
| 23 |
+
Untouched kept UNet bytes: 719,439,368 / 686.111 MiB
|
| 24 |
+
Packed quantized index bytes: 1,103,872,000 / 1.028 GiB
|
| 25 |
+
Row norm bytes: 2,872,320 / 2.739 MiB
|
| 26 |
+
Estimate without metadata: 1,826,183,688 / 1.701 GiB
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| 27 |
+
Actual safetensors file: 1,826,788,784 / 1.701 GiB
|
| 28 |
+
Saved from original UNet FP16: 3,308,138,584 / 3.081 GiB
|
| 29 |
+
UNet shrink vs FP16: 64.4243%
|
| 30 |
+
|
| 31 |
+
Quantized keys
|
| 32 |
+
------------------------------------------------------------------------------------------------------------------------
|
| 33 |
+
model.diffusion_model.input_blocks.4.1.proj_in.weight shape=[640, 640] input_dim=640 output_dim=640
|
| 34 |
+
model.diffusion_model.input_blocks.4.1.proj_out.weight shape=[640, 640] input_dim=640 output_dim=640
|
| 35 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_k.weight shape=[640, 640] input_dim=640 output_dim=640
|
| 36 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
|
| 37 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
|
| 38 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_v.weight shape=[640, 640] input_dim=640 output_dim=640
|
| 39 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight shape=[640, 2048] input_dim=2048 output_dim=640
|
| 40 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
|
| 41 |
+
model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
|
| 42 |
+
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model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn1.to_v.weight shape=[1280, 1280] input_dim=1280 output_dim=1280
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model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn2.to_q.weight shape=[1280, 1280] input_dim=1280 output_dim=1280
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model.diffusion_model.output_blocks.2.1.transformer_blocks.7.attn2.to_v.weight shape=[1280, 2048] input_dim=2048 output_dim=1280
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model.diffusion_model.output_blocks.2.1.transformer_blocks.7.ff.net.0.proj.weight shape=[10240, 1280] input_dim=1280 output_dim=10240
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model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn1.to_q.weight shape=[1280, 1280] input_dim=1280 output_dim=1280
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model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn1.to_v.weight shape=[1280, 1280] input_dim=1280 output_dim=1280
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model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_k.weight shape=[1280, 2048] input_dim=2048 output_dim=1280
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model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_out.0.weight shape=[1280, 1280] input_dim=1280 output_dim=1280
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model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_q.weight shape=[1280, 1280] input_dim=1280 output_dim=1280
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model.diffusion_model.output_blocks.2.1.transformer_blocks.8.attn2.to_v.weight shape=[1280, 2048] input_dim=2048 output_dim=1280
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model.diffusion_model.output_blocks.2.1.transformer_blocks.8.ff.net.0.proj.weight shape=[10240, 1280] input_dim=1280 output_dim=10240
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model.diffusion_model.output_blocks.2.1.transformer_blocks.9.attn1.to_k.weight shape=[1280, 1280] input_dim=1280 output_dim=1280
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model.diffusion_model.output_blocks.2.1.transformer_blocks.9.attn1.to_q.weight shape=[1280, 1280] input_dim=1280 output_dim=1280
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model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_v.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_k.weight shape=[640, 2048] input_dim=2048 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_v.weight shape=[640, 2048] input_dim=2048 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.0.proj.weight shape=[5120, 640] input_dim=640 output_dim=5120
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model.diffusion_model.output_blocks.3.1.transformer_blocks.1.attn1.to_k.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.1.attn1.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.1.attn1.to_v.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.1.attn2.to_k.weight shape=[640, 2048] input_dim=2048 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.1.attn2.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.1.attn2.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.1.attn2.to_v.weight shape=[640, 2048] input_dim=2048 output_dim=640
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model.diffusion_model.output_blocks.3.1.transformer_blocks.1.ff.net.0.proj.weight shape=[5120, 640] input_dim=640 output_dim=5120
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model.diffusion_model.output_blocks.3.1.transformer_blocks.1.ff.net.2.weight shape=[640, 2560] input_dim=2560 output_dim=640
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model.diffusion_model.output_blocks.4.1.proj_in.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.proj_out.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_k.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_v.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_k.weight shape=[640, 2048] input_dim=2048 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_v.weight shape=[640, 2048] input_dim=2048 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.0.proj.weight shape=[5120, 640] input_dim=640 output_dim=5120
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model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.2.weight shape=[640, 2560] input_dim=2560 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn1.to_k.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn1.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn1.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn1.to_v.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_k.weight shape=[640, 2048] input_dim=2048 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.1.attn2.to_v.weight shape=[640, 2048] input_dim=2048 output_dim=640
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model.diffusion_model.output_blocks.4.1.transformer_blocks.1.ff.net.0.proj.weight shape=[5120, 640] input_dim=640 output_dim=5120
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model.diffusion_model.output_blocks.4.1.transformer_blocks.1.ff.net.2.weight shape=[640, 2560] input_dim=2560 output_dim=640
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model.diffusion_model.output_blocks.5.1.proj_out.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_k.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_v.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_k.weight shape=[640, 2048] input_dim=2048 output_dim=640
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model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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| 742 |
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model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_v.weight shape=[640, 2048] input_dim=2048 output_dim=640
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model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.0.proj.weight shape=[5120, 640] input_dim=640 output_dim=5120
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model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn1.to_k.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn1.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
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model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn1.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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| 748 |
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model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn1.to_v.weight shape=[640, 640] input_dim=640 output_dim=640
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| 749 |
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model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_k.weight shape=[640, 2048] input_dim=2048 output_dim=640
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| 750 |
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model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_out.0.weight shape=[640, 640] input_dim=640 output_dim=640
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| 751 |
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model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_q.weight shape=[640, 640] input_dim=640 output_dim=640
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| 752 |
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model.diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_v.weight shape=[640, 2048] input_dim=2048 output_dim=640
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| 753 |
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model.diffusion_model.output_blocks.5.1.transformer_blocks.1.ff.net.0.proj.weight shape=[5120, 640] input_dim=640 output_dim=5120
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model.diffusion_model.output_blocks.5.1.transformer_blocks.1.ff.net.2.weight shape=[640, 2560] input_dim=2560 output_dim=640
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