SG161222_RealVisXL_V5.0
SG161222 · View on Hugging Face ↗
Model card
The complete upstream card, rendered from this payload's README.md — the same hash-verified bytes the torrent distributes. Images and off-site links are removed; the original card on Hugging Face carries them.
license: openrail++
Check my exclusive models on Mage: ParagonXL / NovaXL / NovaXL Lightning / NovaXL V2 / NovaXL Pony / NovaXL Pony Lightning / RealDreamXL / RealDreamXL Lightning
This model is available on Mage.Space (main sponsor)You can support me directly on Boosty - https://boosty.to/sg_161222
The model is aimed at photorealism. Can produce sfw and nsfw images of decent quality.
CivitAI Page: https://civitai.com/models/139562?modelVersionId=789646
Recommended Negative Prompt:
bad hands, bad anatomy, ugly, deformed, (face asymmetry, eyes asymmetry, deformed eyes, deformed mouth, open mouth)
or another negative prompt
Recommended Generation Parameters:
Sampling Method: DPM++ SDE Karras (30+ Sampling Steps) or DPM++ 2M Karras (50+ Sampling Steps)
Recommended Hires Fix Parameters:
Hires Sampling Method: DPM++ 2M Karras
Hires steps: 25+
Upscaler: 4x-NMKD-Superscale-SP_178000_G / 4x-UltraSharp upscaler / or another
Denoising strength: 0.1 - 0.3
Upscale by: 1.1-1.5
Magnet link
Opens the swarm directly in your torrent client — no file download needed. Copy-paste works too:
magnet:?xt=urn:btih:d6ae4f6753815dd3b4c83a3f932dae5cac555679&dn=SG161222_RealVisXL_V5.0Open magnet in torrent client · infohash d6ae4f6753815dd3b4c83a3f932dae5cac555679
Files & hashes
| Path | Size | sha1 | sha256 |
|---|---|---|---|
| README.md | 2.2 KB (2,287 B) | a8f1b99e996f994e129cadcb1c71de8820bf8baf | ef3633a283f9f0902b2cc71162c238fc6df1dc1f06b360c2ec55c88a304f7acb |
| RealVisXL_V5.0_fp16.safetensors | 6.46 GB (6,938,065,488 B) | 2e62e31438537cf9a7b8261766b4ea7257a52555 | 6a35a7855770ae9820a3c931d4964c3817b6d9e3c6f9c4dabb5b3a94e5643b80 |
| RealVisXL_V5.0_fp32.safetensors | 12.92 GB (13,875,783,240 B) | 9e9adec05764856874a83bf2e632e42ea4dfcf25 | 49527024b637885df831335102f0b167f40ebb0c6b7599fab585c7fdc98a007b |
| model_index.json | 708 B (708 B) | 76b03ea2dd74a0f91f68951013d899c82e0b2752 | f15de0dfcd39efb54005fe7110fc07580dc7b90e73b2a7fb2ad4500381592e96 |
| scheduler/scheduler_config.json | 526 B (526 B) | b60b9eed5dcaee8d28e4dad5d34132bf45d5e9cf | 4276ecb13fc42b6667fe47bac67a376e99e4c26d477e189c4630dd7037a25a9a |
| text_encoder/config.json | 584 B (584 B) | ac4122e37529c597f3c7f68e967534b63aa6a632 | c5975e04befd9ced7cb307e2b6e935449e775d1963445c139d0bae8abdfacc34 |
| text_encoder/model.fp16.safetensors | 234.7 MB (246,144,152 B) | 229536f204c614ff1625e1257ad20bc033066c62 | 0a873801e35a008b17e228189a83a8b41e068ffe7bde7c1105e8c6e947758bc5 |
| text_encoder/model.safetensors | 469.5 MB (492,265,168 B) | d050319dacbccec54983406b879a2509b0f2fbc6 | 8bea904268d19b5a2d46d3d17c0aedc1b3d1706fc4327b64da1f46db1aecc62b |
| text_encoder_2/config.json | 594 B (594 B) | 024774b3a5a47f06f7a5a3efced2c837a772d512 | a07d5cbb8a2b6c5834e67008de0aee108bd6396edfe909ef7b6c08c21d5c4c07 |
| text_encoder_2/model.fp16.safetensors | 1.29 GB (1,389,382,176 B) | aae6998f29fe6d77cb84b5e99855d9b9c1ed4687 | dfa429b268cd3f6297927f1fd3eacac04781b17ab4caa97892a461ff41400a5e |
| text_encoder_2/model.safetensors | 2.59 GB (2,778,702,264 B) | 2ac8e7d4b787df83fee87f49d360220c83ee3768 | 4b7c9b2c9668d61f13594e9043f7ef75712f952e0621b57c8ffc4d5504e4ab82 |
| tokenizer/merges.txt | 560.1 KB (573,514 B) | 1876098c4dcbf22af518537b3bd63102a05e1313 | 0bc7695944744789d6fd6d0ab754bcbbb9e36f1c182df0a006d619ce70a1e052 |
| tokenizer/special_tokens_map.json | 496 B (496 B) | ad919e089d4d032a933a2a9087de2857d55af3bc | c8227988aadac941e93b5ffef08b4add8ccbdb26404a62b3e41f61eef119b252 |
| tokenizer/tokenizer_config.json | 734 B (734 B) | d3269e79768869e2475079df12936e4f5a5f00e2 | 2edbd316072af0382bb999f82b007ad8af159d6277648e29b7747d72c3add791 |
| tokenizer/vocab.json | 1.1 MB (1,109,372 B) | 521b2c5def638d17b1e463ce25597140a1720005 | fd67774a869730a6b27bf53d3e434e72054f2a825873c7af3bece183bb1f791e |
| tokenizer_2/merges.txt | 560.1 KB (573,514 B) | 1876098c4dcbf22af518537b3bd63102a05e1313 | 0bc7695944744789d6fd6d0ab754bcbbb9e36f1c182df0a006d619ce70a1e052 |
| tokenizer_2/special_tokens_map.json | 484 B (484 B) | 4473e143ec2843c3cf9d6db8b1062f1e71076615 | a83f5831a70d1d21c057186d35aaa504894103d24ee905baa99bc7e83ceb70ee |
| tokenizer_2/tokenizer_config.json | 893 B (893 B) | 5f7b9260a5b05507390f563c9277c19128c9a74c | 6e6c80bd367c7b39df2d7add74577ffd79d0840f3aa96e3b5893b95230743bcf |
| tokenizer_2/vocab.json | 1.1 MB (1,109,372 B) | 521b2c5def638d17b1e463ce25597140a1720005 | fd67774a869730a6b27bf53d3e434e72054f2a825873c7af3bece183bb1f791e |
| unet/config.json | 1.8 KB (1,850 B) | e8514f0869ff13b3364bd674adaf3f681c978bab | a7f46710bde141386d8b1249b16beabb769affd8873eb9c6def581e8a110798a |
| unet/diffusion_pytorch_model-00001-of-00002.safetensors | 9.30 GB (9,988,139,160 B) | c2bea671b8e392bed8edf80bf33ad412bb368c77 | 46e2c18ef9131caaf26a0a5039ca999cf7128204a10c1c085cdbc2a859f9e270 |
| unet/diffusion_pytorch_model-00002-of-00002.safetensors | 268.9 MB (281,938,304 B) | c9d5401def9dacf21a785bf2ee8268e005b21f95 | f0c982d309238340e38250b14cfecbe62e287516b8e5b18a6ae872d12eb00e6e |
| unet/diffusion_pytorch_model.fp16.safetensors | 4.78 GB (5,135,149,760 B) | 1347307580d5db2c5c280e1978373645afa9323f | ea10386073d39ffdde9fda426745b3f5e9dcd2af204c128ece0f4ea84570ffee |
| unet/diffusion_pytorch_model.safetensors.index.json | 198.1 KB (202,851 B) | 0efab08d53d8e2888545cb44ffbbef4cc77ec5cf | c5596249543ecb8b717c5bceb6c290446a77bc38756e3288c3fe560855262e9f |
| vae/config.json | 807 B (807 B) | 88ddc47ac1dfd7b81dd7f248f56fc6245cd565b9 | 5d301324288c14277bab2b284004b91b81faffc800202ddba59e401c82683959 |
| vae/diffusion_pytorch_model.fp16.safetensors | 159.6 MB (167,335,342 B) | 57c8ba52a0f70a7a967053fc6a3eac80f7f691d0 | 6353737672c94b96174cb590f711eac6edf2fcce5b6e91aa9d73c5adc589ee48 |
| vae/diffusion_pytorch_model.safetensors | 319.1 MB (334,643,268 B) | 0c17c79f22d03fbc97fa2778cbd70947a4eaf3db | 78f6189c8492013e3cac81637a1f657f790a237387f8a9dfd6bfa5fee28eb646 |
Cite this release
- Canonical URL
- https://aiseedbank.org/models/SG161222_RealVisXL_V5.0/
- Slug
- SG161222_RealVisXL_V5.0
- Infohash
- d6ae4f6753815dd3b4c83a3f932dae5cac555679
- License
- openrail++
- Signing key fingerprint
- 85a3b32c3712427b
Every file carries a locally computed sha256 — verify a download against the signed sums: SG161222_RealVisXL_V5.0.SHA256SUMS (+ minisign signature).
Provenance
| Upstream repository | SG161222/RealVisXL_V5.0 |
|---|---|
| Revision (pinned) | ac93e0dda1f6d448cae19bbfab8c5e720a5e48bc |
| Fetched at | 2026-09-03T20:11:05Z |
| License at fetch | openrail++ |
| Snapshot tool | huggingface · seedbank 0.1.0 |
Trackers
- udp://announce.aitorrent.org:6969/announce
- http://announce.aitorrent.org:7070/announce
- udp://announce2.aitorrent.org:6970/announce
- http://announce2.aitorrent.org:7071/announce
- udp://tracker.opentrackr.org:1337/announce
- udp://open.demonii.com:1337/announce
- udp://open.stealth.si:80/announce
- udp://exodus.desync.com:6969/announce
- udp://tracker.torrent.eu.org:451/announce
✓ verified · rehash-vs-hf-metadata at 2026-09-03T20:20:27Z
openrail++38.77 GB (41,631,126,908 bytes)diffuserssafetensorsendpoints_compatiblediffusers:StableDiffusionXLPipeline