# mini-unet-colorizer by Joe Bloggs: Open-Weight Model
Source: https://savrn.com/models/mini-unet-colorizer
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Runs On

What it takes to serve mini-unet-colorizer (4M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
| --- | --- | --- | --- | --- | --- |
| 16-bit | 0.0 GB | 0.0 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 8-bit | 0.0 GB | 0.0 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 4-bit | 0.0 GB | 0.0 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the [SAVRN Index](https://savrn.com/ai-index/pricing/gpus), read Oct 7, 2026.

[mini-unet-colorizer on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/mini-unet-colorizer/gpus)

## Model Card

By Joe Bloggs, published under apache-2.0, revision 8c54d9496599.

### Mini U-Net Colorizer — broader-data trained candidate

Status: evaluated app-testing candidate. Some broad color patches and incorrect object hues remain. Predicted colors are not evidence of original historical colors.

This checkpoint has 3,968,892 learned parameters and 236 fixed color bins. It starts from the audited bin-mapping repair of main commit 6c47ea40724d8fcd67d4f36ce837dc1cb5b1b2a8 and changes all 65 learned parameter tensors. The color vocabulary is unchanged. The selected weights are update 748 of a completed 1,122-update BF16 L4 run using a 17,325-photo mixed training pool (11,943 Imagenette plus 5,382 COCO), batch 32, initial learning rate 1e-5, weighted classification loss and frozen BatchNorm running statistics.

Selection compared Imagenette50 and reserved COCO200 validation images. The selected model retained color strength better than spatial-loss candidates. It was then scored on separate Imagenette200 and COCO-val100 checks.

| Test sample | Previous repaired error | This release error | Fine excess-edge reduction |
| --- | --- | --- | --- |
| Imagenette 200 | 13.318 | 12.847 | 85.8% |
| COCO-val 100 | 15.266 | 14.532 | 84.3% |

[Read the full model card (377 words)](https://savrn.com/models/mini-unet-colorizer/card)

## Identity and Version

Repository

User-2468/mini-unet-colorizer

Publisher

Joe Bloggs

Task

Image to image

Modality

Image

Library

Not stated by the source

Parameters

4M parameters

Languages

Not stated by the source

Revision

8c54d9496599139cf22da2061eb80a8f9bcf8048

First published

2026-08-24

Last updated

2026-09-28

## Files and Weights

759 files, 2.4 GB in total. The weights are 106 files totalling 2.3 GB in npz, onnx, pt, safetensors.

Weights106 files · 2.3 GB

Configuration458 files · 13.7 MB

Documentation85 files · 207.9 KB

Other109 files · 58.9 MB

Repository1 file · 9.9 KB

Every file

| File | Type | Size | SHA-256 |
| --- | --- | --- | --- |
| colorizer.onnx | Weights | 15.9 MB | 0ef86749901e |
| experiments/final-20260928/realism_high/initial/model.safetensors | Weights | 16.1 MB | ec1f27d74533 |
| experiments/final-20260928/realism_high_v2/initial/model.safetensors | Weights | 16.1 MB | ec1f27d74533 |
| experiments/final-20260928/realism_high_v2/step_00500/model.safetensors | Weights | 16.1 MB | 744ac06d8182 |
| experiments/final-20260928/realism_high_v2/step_00500/training_state.pt | Weights | 40.5 MB | dc089b428644 |
| experiments/final-20260928/realism_high_v2/step_01000/model.safetensors | Weights | 16.1 MB | 2e71d7200bd2 |
| experiments/final-20260928/realism_high_v2/step_01000/training_state.pt | Weights | 40.5 MB | d8c8d3afd540 |
| experiments/final-20260928/realism_high_v2/step_01500/model.safetensors | Weights | 16.1 MB | 044132a3bcfc |
| experiments/final-20260928/realism_high_v2/step_01500/training_state.pt | Weights | 40.5 MB | 6fe51cd9fbe5 |
| experiments/final-20260928/realism_high_v2/step_02000/model.safetensors | Weights | 16.1 MB | 3cc071feef2a |
| experiments/final-20260928/realism_high_v2/step_02000/training_state.pt | Weights | 40.5 MB | 66975152637b |
| experiments/final-20260928/realism_high_v2/step_02500/model.safetensors | Weights | 16.1 MB | cf46c12552f4 |
| experiments/final-20260928/realism_high_v2/step_02500/training_state.pt | Weights | 40.5 MB | 2d40650acc17 |
| experiments/final-20260928/realism_low/initial/model.safetensors | Weights | 16.1 MB | ec1f27d74533 |
| experiments/final-20260928/realism_low_v2/initial/model.safetensors | Weights | 16.1 MB | ec1f27d74533 |
| experiments/final-20260928/realism_low_v2/step_00500/model.safetensors | Weights | 16.1 MB | 68981684a9c5 |
| experiments/final-20260928/realism_low_v2/step_00500/training_state.pt | Weights | 40.5 MB | feaa312f934c |
| experiments/final-20260928/realism_low_v2/step_01000/model.safetensors | Weights | 16.1 MB | 7137f7cd97f6 |
| experiments/final-20260928/realism_low_v2/step_01000/training_state.pt | Weights | 40.5 MB | de01468d2fe0 |
| experiments/final-20260928/realism_low_v2/step_01500/model.safetensors | Weights | 16.1 MB | f83f09e3508e |
| experiments/final-20260928/realism_low_v2/step_01500/training_state.pt | Weights | 40.5 MB | 457512657090 |
| experiments/final-20260928/realism_low_v2/step_02000/model.safetensors | Weights | 16.1 MB | c01e8aec6282 |
| experiments/final-20260928/realism_low_v2/step_02000/training_state.pt | Weights | 40.5 MB | 811b99c1f23a |
| experiments/final-20260928/realism_low_v2/step_02500/model.safetensors | Weights | 16.1 MB | c0f1efe60517 |
| experiments/final-20260928/realism_low_v2/step_02500/training_state.pt | Weights | 40.5 MB | 49e7619bf2f3 |
| experiments/final-20260928/release_preflight/colorizer.onnx | Weights | 16.0 MB | 911fb777328f |
| experiments/final-20260928/release_preflight/model.safetensors | Weights | 16.1 MB | ec1f27d74533 |
| experiments/round5-20260927/best/model.safetensors | Weights | 15.9 MB | 0e4c41737568 |
| experiments/round5-20260927/initial/model.safetensors | Weights | 15.9 MB | 0e4c41737568 |
| experiments/round5-20260927/structure_control/latest/model.safetensors | Weights | 15.9 MB | 37bb9da3946e |
| experiments/round5-20260927/structure_control/latest/training_state.pt | Weights | 31.8 MB | 9fb6fc1ce456 |
| experiments/round5-20260927/structure_distilled/latest/model.safetensors | Weights | 15.9 MB | 8d1819842a09 |
| experiments/round5-20260927/structure_distilled/latest/training_state.pt | Weights | 31.8 MB | 84499e2fb38d |
| experiments/round6-20260928/dense/initial/model.safetensors | Weights | 15.0 MB | e20e980bca62 |
| experiments/round6-20260928/dense/latest/model.safetensors | Weights | 15.0 MB | 248ae38b32fa |
| experiments/round6-20260928/dense/latest/training_state.pt | Weights | 29.8 MB | 67e7fb016191 |
| experiments/round6-20260928/dense/review_candidate/model.safetensors | Weights | 15.0 MB | 29aaf4b81563 |
| experiments/round6-20260928/dense/step_01000/model.safetensors | Weights | 15.0 MB | c6a48923689b |
| experiments/round6-20260928/dense/step_02000/model.safetensors | Weights | 15.0 MB | d23ab82cc685 |
| experiments/round6-20260928/dense/step_03000/model.safetensors | Weights | 15.0 MB | 1e7c6c7d5061 |
| experiments/round6-20260928/dense/step_04000/model.safetensors | Weights | 15.0 MB | c8a5bc58d62f |
| experiments/round6-20260928/dense/step_05000/model.safetensors | Weights | 15.0 MB | 06a032dba58c |
| experiments/round6-20260928/dense/step_06000/model.safetensors | Weights | 15.0 MB | 29aaf4b81563 |
| experiments/round6-20260928/dense/step_07000/model.safetensors | Weights | 15.0 MB | c47ced9c5599 |
| experiments/round6-20260928/dense/step_08000/model.safetensors | Weights | 15.0 MB | 0510ee4e5138 |
| experiments/round6-20260928/dense/step_09000/model.safetensors | Weights | 15.0 MB | 2fe2664ccc65 |
| experiments/round6-20260928/dense/step_10000/model.safetensors | Weights | 15.0 MB | 248ae38b32fa |
| experiments/round6-20260928/eligible_candidate/model.safetensors | Weights | 16.1 MB | ec1f27d74533 |
| experiments/round6-20260928/palette/initial/model.safetensors | Weights | 16.1 MB | fb06a0f07635 |
| experiments/round6-20260928/palette/latest/model.safetensors | Weights | 16.1 MB | ab985c82804a |
| experiments/round6-20260928/palette/latest/training_state.pt | Weights | 32.2 MB | e6ced91d7e40 |
| experiments/round6-20260928/palette/review_candidate/model.safetensors | Weights | 16.1 MB | 76e89d7845be |
| experiments/round6-20260928/palette/step_01000/model.safetensors | Weights | 16.1 MB | 0db58c5789cf |
| experiments/round6-20260928/palette/step_02000/model.safetensors | Weights | 16.1 MB | 1002ce48c6b5 |
| experiments/round6-20260928/palette/step_03000/model.safetensors | Weights | 16.1 MB | 0ec59f2c1f23 |
| experiments/round6-20260928/palette/step_04000/model.safetensors | Weights | 16.1 MB | 8b48c0138aef |
| experiments/round6-20260928/palette/step_05000/model.safetensors | Weights | 16.1 MB | 85d692516ece |
| experiments/round6-20260928/palette/step_06000/model.safetensors | Weights | 16.1 MB | 76e89d7845be |
| experiments/round6-20260928/palette/step_07000/model.safetensors | Weights | 16.1 MB | 86e689cfc957 |
| experiments/round6-20260928/palette/step_08000/model.safetensors | Weights | 16.1 MB | bcaebd4b950d |
| experiments/round6-20260928/palette/step_09000/model.safetensors | Weights | 16.1 MB | ec1f27d74533 |
| experiments/round6-20260928/palette/step_10000/model.safetensors | Weights | 16.1 MB | ab985c82804a |
| experiments/round6-20260928/preflight_initial_palette/model.safetensors | Weights | 16.1 MB | 586e7d59f4f4 |
| experiments/round6-20260928/teacher_cache/00000.npz | Weights | 30.1 MB | e63068ef1b2d |
| experiments/round6-20260928/teacher_cache/02048.npz | Weights | 30.1 MB | d02395bf3f81 |
| experiments/round6-20260928/teacher_cache/04096.npz | Weights | 30.1 MB | 50b1118c1c3b |
| experiments/round6-20260928/teacher_cache/06144.npz | Weights | 30.1 MB | b8d858b6cdf3 |
| experiments/round6-20260928/teacher_cache/08192.npz | Weights | 30.1 MB | 52f5876d38ff |
| experiments/round6-20260928/teacher_cache/10240.npz | Weights | 30.1 MB | 318b258083a4 |
| experiments/round6-20260928/teacher_cache/12288.npz | Weights | 30.0 MB | 00d52bbd9cb7 |
| experiments/round6-20260928/teacher_cache/14336.npz | Weights | 27.8 MB | 460870cb31a5 |
| experiments/round7-20260928/initial/model.safetensors | Weights | 16.1 MB | ec1f27d74533 |
| experiments/round7-20260928/set_archive/step_00500/model.safetensors | Weights | 16.1 MB | 23e77d3975f1 |
| experiments/round7-20260928/set_archive/step_00500/training_state.pt | Weights | 32.2 MB | 43ce4fcb860e |
| experiments/round7-20260928/set_archive/step_01000/model.safetensors | Weights | 16.1 MB | 6753aa792aaf |
| experiments/round7-20260928/set_archive/step_01000/training_state.pt | Weights | 32.2 MB | ab8c05a5b57e |
| experiments/round7-20260928/set_archive/step_01500/model.safetensors | Weights | 16.1 MB | 751fa2c9d2e1 |
| experiments/round7-20260928/set_archive/step_01500/training_state.pt | Weights | 32.2 MB | cefff8a3f16e |
| experiments/round7-20260928/set_archive/step_02000/model.safetensors | Weights | 16.1 MB | 0b2b0f7a89c1 |
| experiments/round7-20260928/set_archive/step_02000/training_state.pt | Weights | 32.2 MB | a801b9a961a2 |
| experiments/round7-20260928/set_clean/step_00500/model.safetensors | Weights | 16.1 MB | bedd9e368841 |
| experiments/round7-20260928/set_clean/step_00500/training_state.pt | Weights | 32.2 MB | 39a0fa0bbf60 |
| experiments/round7-20260928/set_clean/step_01000/model.safetensors | Weights | 16.1 MB | 41163b3b637d |
| experiments/round7-20260928/set_clean/step_01000/training_state.pt | Weights | 32.2 MB | 66f23c824f12 |
| experiments/round7-20260928/set_clean/step_01500/model.safetensors | Weights | 16.1 MB | 884b16d14cce |
| experiments/round7-20260928/set_clean/step_01500/training_state.pt | Weights | 32.2 MB | 2081840699f3 |
| experiments/round7-20260928/set_clean/step_02000/model.safetensors | Weights | 16.1 MB | e733e2275352 |
| experiments/round7-20260928/set_clean/step_02000/training_state.pt | Weights | 32.2 MB | 7bc9ab084b8d |
| experiments/round7-20260928/teacher_archive/step_00500/model.safetensors | Weights | 16.1 MB | 982c4308e494 |
| experiments/round7-20260928/teacher_archive/step_00500/training_state.pt | Weights | 32.2 MB | 4bdf3a6d2d31 |
| experiments/round7-20260928/teacher_archive/step_01000/model.safetensors | Weights | 16.1 MB | e0bcf6066863 |
| experiments/round7-20260928/teacher_archive/step_01000/training_state.pt | Weights | 32.2 MB | 2a6075e62f48 |
| experiments/round7-20260928/teacher_archive/step_01500/model.safetensors | Weights | 16.1 MB | 7b9720d8fb7b |
| experiments/round7-20260928/teacher_archive/step_01500/training_state.pt | Weights | 32.2 MB | ed9cc8641d1d |
| experiments/round7-20260928/teacher_archive/step_02000/model.safetensors | Weights | 16.1 MB | aa4c80eb335f |
| experiments/round7-20260928/teacher_archive/step_02000/training_state.pt | Weights | 32.2 MB | bcf11fa1ef78 |
| experiments/round7-20260928/teacher_clean/step_00500/model.safetensors | Weights | 16.1 MB | 2f4cca2845c5 |
| experiments/round7-20260928/teacher_clean/step_00500/training_state.pt | Weights | 32.2 MB | 108e9367fef1 |
| experiments/round7-20260928/teacher_clean/step_01000/model.safetensors | Weights | 16.1 MB | 3801929a0baa |
| experiments/round7-20260928/teacher_clean/step_01000/training_state.pt | Weights | 32.2 MB | e30f16ddd105 |
| experiments/round7-20260928/teacher_clean/step_01500/model.safetensors | Weights | 16.1 MB | 66955159a62d |
| experiments/round7-20260928/teacher_clean/step_01500/training_state.pt | Weights | 32.2 MB | 0e62a58ec274 |
| experiments/round7-20260928/teacher_clean/step_02000/model.safetensors | Weights | 16.1 MB | 1e7607002ea6 |
| experiments/round7-20260928/teacher_clean/step_02000/training_state.pt | Weights | 32.2 MB | f8fa39782759 |
| model.safetensors | Weights | 15.9 MB | 0e4c41737568 |
| training/color_statistics.npz | Weights | 3.6 KB | 1d1492088532 |
| SHA256SUMS.json | Configuration | 4.1 KB | — |
| colorize_eval.py | Configuration | 16.2 KB | — |
| colorize_image.py | Configuration | 6.8 KB | — |
| colorize_onnx.py | Configuration | 1.8 KB | — |
| colorize_train.py | Configuration | 39.4 KB | — |
| colorizer.json | Configuration | 1.0 KB | — |
| config.json | Configuration | 8.8 KB | — |
| experiments/final-20260928/realism_high/SHA256SUMS.json | Configuration | 4.5 KB | — |
| experiments/final-20260928/realism_high/data_and_eval.py | Configuration | 14.3 KB | — |
| experiments/final-20260928/realism_high/failure.json | Configuration | 566 B | — |
| experiments/final-20260928/realism_high/final_train.py | Configuration | 8.9 KB | — |
| experiments/final-20260928/realism_high/initial/config.json | Configuration | 118 B | — |
| experiments/final-20260928/realism_high/protocol.json | Configuration | 781 B | — |
| experiments/final-20260928/realism_high/source/data.py | Configuration | 5.4 KB | — |
| experiments/final-20260928/realism_high/source/legacy_eval.py | Configuration | 7.8 KB | — |
| experiments/final-20260928/realism_high/source/metrics.py | Configuration | 1.5 KB | — |
| experiments/final-20260928/realism_high/source/model.py | Configuration | 4.9 KB | — |
| experiments/final-20260928/realism_high/source/objectives.py | Configuration | 1.0 KB | — |
| experiments/final-20260928/realism_high/source/persistence.py | Configuration | 2.4 KB | — |
| experiments/final-20260928/realism_high/source/previous_manifest.json | Configuration | 174.2 KB | — |
| experiments/final-20260928/realism_high/source/semantic_model.py | Configuration | 5.6 KB | — |
| experiments/final-20260928/realism_high/source/smoke.py | Configuration | 1.5 KB | — |
| experiments/final-20260928/realism_high/source/spatial.py | Configuration | 1.6 KB | — |
| experiments/final-20260928/realism_high/source/train_semantic.py | Configuration | 13.5 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/__init__.py | Configuration | 577 B | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/archs/__init__.py | Configuration | 1.3 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/archs/ddcolor_arch_utils/__init__.py | Configuration |  | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/archs/ddcolor_arch_utils/convnext.py | Configuration | 8.5 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/archs/ddcolor_arch_utils/position_encoding.py | Configuration | 2.0 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/archs/ddcolor_arch_utils/transformer.py | Configuration | 11.9 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/archs/ddcolor_arch_utils/transformer_utils.py | Configuration | 7.2 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/archs/ddcolor_arch_utils/unet.py | Configuration | 7.5 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/archs/ddcolor_arch_utils/util.py | Configuration | 2.5 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/utils/__init__.py | Configuration | 968 B | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/utils/diffjpeg.py | Configuration | 15.7 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/utils/dist_util.py | Configuration | 2.6 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/utils/file_client.py | Configuration | 6.0 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/utils/img_process_util.py | Configuration | 2.6 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/utils/img_util.py | Configuration | 8.6 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/utils/logger.py | Configuration | 7.1 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/utils/misc.py | Configuration | 4.7 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/basicsr/utils/registry.py | Configuration | 2.2 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/ddcolor/__init__.py | Configuration | 238 B | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/ddcolor/model.py | Configuration | 9.3 KB | — |
| experiments/final-20260928/realism_high/source/vendor_ddcolor/ddcolor/pipeline.py | Configuration | 4.4 KB | — |
| experiments/final-20260928/realism_high_v2/SHA256SUMS.json | Configuration | 8.2 KB | — |
| experiments/final-20260928/realism_high_v2/data_and_eval.py | Configuration | 14.3 KB | — |
| experiments/final-20260928/realism_high_v2/final_train.py | Configuration | 8.9 KB | — |
| experiments/final-20260928/realism_high_v2/history.json | Configuration | 5.3 KB | — |
| experiments/final-20260928/realism_high_v2/initial/config.json | Configuration | 118 B | — |
| experiments/final-20260928/realism_high_v2/protocol.json | Configuration | 784 B | — |
| experiments/final-20260928/realism_high_v2/reporting_diagnostics.json | Configuration | 21.3 KB | — |
| experiments/final-20260928/realism_high_v2/reporting_key.json | Configuration | 33 B | — |
| experiments/final-20260928/realism_high_v2/reporting_reference_metrics.json | Configuration | 71.0 KB | — |
| experiments/final-20260928/realism_high_v2/review_1000_key.json | Configuration | 33 B | — |
| experiments/final-20260928/realism_high_v2/review_2500_key.json | Configuration | 33 B | — |
| experiments/final-20260928/realism_high_v2/source/data.py | Configuration | 5.4 KB | — |
| experiments/final-20260928/realism_high_v2/source/legacy_eval.py | Configuration | 7.8 KB | — |
| experiments/final-20260928/realism_high_v2/source/metrics.py | Configuration | 1.5 KB | — |
| experiments/final-20260928/realism_high_v2/source/model.py | Configuration | 4.9 KB | — |
| experiments/final-20260928/realism_high_v2/source/objectives.py | Configuration | 1.0 KB | — |
| experiments/final-20260928/realism_high_v2/source/persistence.py | Configuration | 2.4 KB | — |
| experiments/final-20260928/realism_high_v2/source/previous_manifest.json | Configuration | 174.2 KB | — |
| experiments/final-20260928/realism_high_v2/source/semantic_model.py | Configuration | 5.6 KB | — |
| experiments/final-20260928/realism_high_v2/source/smoke.py | Configuration | 1.5 KB | — |
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## License and Download

License

apache-2.0

Access

Open weights, no gate

Download size

2.3 GB

[Download from Joe Bloggs](https://huggingface.co/User-2468/mini-unet-colorizer)

Released by Joe Bloggs through its official repository on Hugging Face. [Read the license](https://www.apache.org/licenses/LICENSE-2.0).

## Built From

- Trained on (disclosed) detection-datasets/coco
- Trained on (disclosed) johnowhitaker/imagenette2-320

## Memory Requirements

| Precision | Weights in memory |
| --- | --- |
| As published | 2.3 GB |
| 16-bit | 0.0 GB |
| 8-bit | 0.0 GB |
| 4-bit | 0.0 GB |

Weights only, from the published parameter count; the key-value cache and runtime add to this.

## Questions About mini-unet-colorizer

### How much GPU memory does mini-unet-colorizer need?

About 0 GB at 16-bit and 0 GB at 4-bit: the weights (4M parameters) plus a working margin. A long context needs more.

### What is the cheapest GPU to run mini-unet-colorizer on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

### Can I use mini-unet-colorizer commercially?

Yes. mini-unet-colorizer is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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Open weights openrail++ diffusers

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[Black Forest Labs](https://savrn.com/model-publishers/black-forest-labs)

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### [safetensored-upscalers](https://savrn.com/models/safetensored-upscalers)

[Ashtaka](https://savrn.com/model-publishers/ashtakaoof)

compact is quick and decent i guess - dat is very slow but great quality (dark go to) - drct similar quality to dat but slightly faster - esrgan is old and mediocre - nafnet is an image restoration architecture - omnisr is quick and good quality (nub go to) - rcan is old but good - real-esrgan is esrgan but real (mediocre) - span is quick and good quality (my go to) I do not own any models in this repo. These are just converted pickles to safetensors. The script used is modified from https://github.com/OpenModelDB/model-hub/blob/main/tools/convert-pth.py with Gemini 2.5 Pro.

Open weights mit

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## Joe Bloggs

[All models and datasets](https://savrn.com/model-publishers/user-2468)

## Versions

- [8c54d9496599](https://savrn.com/models/mini-unet-colorizer/versions/8c54d9496599) · current 2026-09-28

## Explore More

- [All image to image models](https://savrn.com/models/tasks/image-to-image)
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- [Model comparisons](https://savrn.com/models/comparisons)
- [The model directory](https://savrn.com/models)
- [Open model prices by host](https://savrn.com/ai-index/pricing/open-models)

## Source

- Repository metadata, read 2026-09-28.
- [Hugging Face record](https://huggingface.co/User-2468/mini-unet-colorizer)
- [How the hub is built](https://savrn.com/model-hub/methodology)