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Open-weight model · Text to image

one-obsession-17-red-sdxl

by John Smith John6666/one-obsession-17-red-sdxl

Original model is here. This model created by maxfeifei8.

Parameters2.6B
Context
Weights6.9 GB
Licenseother
AccessOpen weights
Monthly Downloads95k

Runs On

What it takes to serve one-obsession-17-red-sdxl (2.6B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

PrecisionWeightsMemory neededCheapest setupPer hourAlso fits
16-bit 5.1 GB 6.2 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 2.6 GB 3.1 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 1.3 GB 1.5 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x 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, read Sep 18, 2026.

Model Card

Original model is here. This model created by maxfeifei8.

Excerpt from the card by John Smith, licensed other.

Identity and Version

Repository
John6666/one-obsession-17-red-sdxl
Publisher
John Smith
Task
Text to image
Modality
Image
Library
diffusers
Parameters
2.6B parameters
Languages
en
Revision
429abbf05b3de71183b1480a0e746873d1c23bf6
First published
2025-09-18
Last updated
2025-09-18

Files and Weights

20 files, 6.9 GB in total. The weights are 4 files totalling 6.9 GB in safetensors.

Weights4 files · 6.9 GB
Configuration8 files · 6.1 KB
Tokenizer6 files · 3.4 MB
Documentation1 file · 774 B
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
text_encoder/model.safetensorsWeights246.1 MB a8c9c7e30013
text_encoder_2/model.safetensorsWeights1.4 GB c5009ce6dc2c
unet/diffusion_pytorch_model.safetensorsWeights5.1 GB fc9359c3f680
vae/diffusion_pytorch_model.safetensorsWeights167.3 MB 6353737672c9
model_index.jsonConfiguration721 B
scheduler/scheduler_config.jsonConfiguration537 B
text_encoder/config.jsonConfiguration584 B
text_encoder_2/config.jsonConfiguration594 B
tokenizer/special_tokens_map.jsonConfiguration496 B
tokenizer_2/special_tokens_map.jsonConfiguration484 B
unet/config.jsonConfiguration1.8 KB
vae/config.jsonConfiguration855 B
README.mdDocumentation774 B
.gitattributesRepository1.5 KB
tokenizer/merges.txtTokenizer573.5 KB
tokenizer/tokenizer_config.jsonTokenizer734 B
tokenizer/vocab.jsonTokenizer1.1 MB
tokenizer_2/merges.txtTokenizer573.5 KB
tokenizer_2/tokenizer_config.jsonTokenizer893 B
tokenizer_2/vocab.jsonTokenizer1.1 MB

License and Download

License
other
Access
Open weights, no gate
Download size
6.9 GB
Download from John Smith

Released by John Smith through its official repository on Hugging Face.

Built From

  • Derived from Laxhar/noobai-XL-1.0
  • Derived from OnomaAIResearch/Illustrious-XL-v2.0
  • Merged from Laxhar/noobai-XL-1.0
  • Merged from OnomaAIResearch/Illustrious-XL-v2.0

Memory Requirements

PrecisionWeights in memory
As published6.9 GB
16-bit5.1 GB
8-bit2.6 GB
4-bit1.3 GB

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

Questions About one-obsession-17-red-sdxl

How much GPU memory does one-obsession-17-red-sdxl need?

About 6.2 GB at 16-bit and 1.5 GB at 4-bit: the weights (2.6B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run one-obsession-17-red-sdxl 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.

What license is one-obsession-17-red-sdxl released under?

other, as its publisher declares it. Read the license text before commercial use.

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