
# Stable Diffusion x4 ONNX
This model card focuses on the model associated with the Stable Diffusion Upscaler, available [here](https://github.com/Stability-AI/stablediffusion).
This model is trained for 1.25M steps on a 10M subset of LAION containing images `>2048x2048`. The model was trained on crops of size `512x512` and is a text-guided [latent upscaling diffusion model](https://arxiv.org/abs/2112.10752).
In addition to the textual input, it receives a `noise_level` as an input parameter, which can be used to add noise to the low-resolution input according to a [predefined diffusion schedule](configs/stable-diffusion/x4-upscaling.yaml). 

Converted to ONNX format for https://github.com/huggingface/diffusers/pull/2158


{"license": "openrail++", "tags": ["stable-diffusion", "text-to-image"], "inference": false}
onnx stable-diffusion text-to-image arxiv:2112.10752 license:openrail++ region:us
TAGS
#onnx #stable-diffusion #text-to-image #arxiv-2112.10752 #license-openrail++ #region-us 


# Stable Diffusion x4 ONNX
This model card focuses on the model associated with the Stable Diffusion Upscaler, available here.
This model is trained for 1.25M steps on a 10M subset of LAION containing images '>2048x2048'. The model was trained on crops of size '512x512' and is a text-guided latent upscaling diffusion model.
In addition to the textual input, it receives a 'noise_level' as an input parameter, which can be used to add noise to the low-resolution input according to a predefined diffusion schedule. 

Converted to ONNX format for URL


# Stable Diffusion x4 ONNX
This model card focuses on the model associated with the Stable Diffusion Upscaler, available here.
This model is trained for 1.25M steps on a 10M subset of LAION containing images '>2048x2048'. The model was trained on crops of size '512x512' and is a text-guided latent upscaling diffusion model.
In addition to the textual input, it receives a 'noise_level' as an input parameter, which can be used to add noise to the low-resolution input according to a predefined diffusion schedule. 

Converted to ONNX format for URL
TAGS
#onnx #stable-diffusion #text-to-image #arxiv-2112.10752 #license-openrail++ #region-us 
 # Stable Diffusion x4 ONNX
This model card focuses on the model associated with the Stable Diffusion Upscaler, available here.
This model is trained for 1.25M steps on a 10M subset of LAION containing images '>2048x2048'. The model was trained on crops of size '512x512' and is a text-guided latent upscaling diffusion model.
In addition to the textual input, it receives a 'noise_level' as an input parameter, which can be used to add noise to the low-resolution input according to a predefined diffusion schedule. 

Converted to ONNX format for URL
TAGS
#onnx #stable-diffusion #text-to-image #arxiv-2112.10752 #license-openrail++ #region-us 
# Stable Diffusion x4 ONNX
This model card focuses on the model associated with the Stable Diffusion Upscaler, available here.
This model is trained for 1.25M steps on a 10M subset of LAION containing images '>2048x2048'. The model was trained on crops of size '512x512' and is a text-guided latent upscaling diffusion model.
In addition to the textual input, it receives a 'noise_level' as an input parameter, which can be used to add noise to the low-resolution input according to a predefined diffusion schedule. 

Converted to ONNX format for URL