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Open-weight model · Text to image

stable-diffusion-xl-1.0-inpainting-0.1

by Diffusers diffusers/stable-diffusion-xl-1.0-inpainting-0.1

basemodel: stabilityai/stable-diffusion-xl-base-1.0 - stable-diffusion-xl - stable-diffusion-xl-diffusers - text-to-image - diffusers - inpainting SD-XL Inpainting 0.1 is a latent text-to-image diffusion model capable of generating photo-realistic images…

Parameters2.6B
Context
Weights20.8 GB
Licenseopenrail++
AccessOpen weights
Monthly Downloads103.7k

Runs On

What it takes to serve stable-diffusion-xl-1.0-inpainting-0.1 (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

By Diffusers, published under openrail++, revision 115134f36312.

SD-XL Inpainting 0.1 Model Card

SD-XL Inpainting 0.1 is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask.

The SD-XL Inpainting 0.1 was initialized with the stable-diffusion-xl-base-1.0 weights. The model is trained for 40k steps at resolution 1024x1024 and 5% dropping of the text-conditioning to improve classifier-free classifier-free guidance sampling. For inpainting, the UNet has 5 additional input channels (4 for the encoded masked-image and 1 for the mask itself) whose weights were zero-initialized after restoring the non-inpainting checkpoint. During training, we generate synthetic masks and, in 25% mask everything.

How to use

Read the full model card (479 words)

Identity and Version

Repository
diffusers/stable-diffusion-xl-1.0-inpainting-0.1
Publisher
Diffusers
Task
Text to image
Modality
Image
Library
diffusers
Parameters
2.6B parameters
Languages
Not stated by the source
Revision
115134f363124c53c7d878647567d04daf26e41e
First published
2023-09-01
Last updated
2023-09-03

Files and Weights

25 files, 20.8 GB in total. The weights are 8 files totalling 20.8 GB in safetensors.

Weights8 files · 20.8 GB
Configuration8 files · 6.2 KB
Tokenizer6 files · 3.2 MB
Documentation1 file · 4.9 KB
Other1 file · 1.7 MB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
text_encoder/model.fp16.safetensorsWeights246.1 MB fc83cf401d93
text_encoder/model.safetensorsWeights492.3 MB 79f531155c76
text_encoder_2/model.fp16.safetensorsWeights1.4 GB a8622bd41f8d
text_encoder_2/model.safetensorsWeights2.8 GB 283bb90f987a
unet/diffusion_pytorch_model.fp16.safetensorsWeights5.1 GB 6470840731e9
unet/diffusion_pytorch_model.safetensorsWeights10.3 GB df858870144f
vae/diffusion_pytorch_model.fp16.safetensorsWeights167.3 MB 4ad62825e5c8
vae/diffusion_pytorch_model.safetensorsWeights334.6 MB 98a14dc6fe8d
model_index.jsonConfiguration690 B
scheduler/scheduler_config.jsonConfiguration479 B
text_encoder/config.jsonConfiguration746 B
text_encoder_2/config.jsonConfiguration758 B
tokenizer/special_tokens_map.jsonConfiguration472 B
tokenizer_2/special_tokens_map.jsonConfiguration460 B
unet/config.jsonConfiguration1.9 KB
vae/config.jsonConfiguration659 B
README.mdDocumentation4.9 KB
inpaint-examples-min.pngOther1.7 MB dd259b947b7a
.gitattributesRepository1.6 KB
tokenizer/merges.txtTokenizer524.6 KB
tokenizer/tokenizer_config.jsonTokenizer737 B
tokenizer/vocab.jsonTokenizer1.1 MB
tokenizer_2/merges.txtTokenizer524.6 KB
tokenizer_2/tokenizer_config.jsonTokenizer725 B
tokenizer_2/vocab.jsonTokenizer1.1 MB

License and Download

License
openrail++
Access
Open weights, no gate
Download size
20.8 GB
Download from Diffusers

Released by Diffusers through its official repository on Hugging Face.

Built From

Memory Requirements

PrecisionWeights in memory
As published20.8 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 stable-diffusion-xl-1.0-inpainting-0.1

How much GPU memory does stable-diffusion-xl-1.0-inpainting-0.1 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 stable-diffusion-xl-1.0-inpainting-0.1 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 stable-diffusion-xl-1.0-inpainting-0.1 commercially?

Yes, with conditions. stable-diffusion-xl-1.0-inpainting-0.1 is released under Open RAIL++ License. Open RAIL++ permits use, including commercial use, subject to the use-based restrictions listed in the license, which must be passed on to downstream users.

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/ FIXED: Changed from 50% to 33.33% because there are 3 columns / margin-bottom: 1em; / Added small margin for spacing between stacked images / font-weight: bold; / Corrected 'font-style: bold' to 'font-weight: bold' / } / FIXED: Added missing closing brace here /.overlay, Animagine XL 3.1 is an update in the Animagine XL V3 series, enhancing the previous version, Animagine XL 3.0. This open-source, anime-themed text-to-image model has been improved for generating anime-style images with higher quality. It includes a broader range of characters from well-known anime series, an optimized dataset, and new aesthetic tags for better image creation. Built on Stable Diffusion XL, Animagine XL 3.1…

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