SUPIR Decode

SUPIR Encode

🔧 Image Resize

Color Match

Load Image

Image Comparer (rgthree)

SUPIR Model Loader (v2)

Load Checkpoint

Preview Image

SUPIR First Stage (Denoiser)

SUPIR Sampler

SUPIR Conditioner

SUPIRMODEL

SUPIR_VAE

image

latent

images

IMAGE

Set_InputImage

width

height

Get_InputImage

SUPIRVAE

Get_SUPIRVAE

SUPIR_model

latents

captions

positive

negative

MASK

image_ref

image_target

image_a

image_b

model

clip

denoised_image

denoised_latents

Set_SUPIRVAE

MODEL

CLIP

simple ui edition (keep ratio) (edited resources) (edited resources)

CheckpointLoaderSimple


color-matcher enables color transfer across images which comes in handy for automatic  
color-grading of photographs, paintings and film sequences as well as light-field  
and stopmotion corrections.  

The methods behind the mappings are based on the approach from Reinhard et al.,  
the Monge-Kantorovich Linearization (MKL) as proposed by Pitie et al. and our analytical solution  
to a Multi-Variate Gaussian Distribution (MVGD) transfer in conjunction with classical histogram   
matching. As shown below our HM-MVGD-HM compound outperforms existing methods.   
https://github.com/hahnec/color-matcher/



ColorMatch

ImageResize+

LoadImage

PreviewImage


Creates the conditioning for the sampler.  
Caption input is optional, when it receives a single caption, it's added to the positive prompt.
    
If a list of caption is given for single input image, the captions need to match the number of tiles,  
refer to the SUPIR Tiles node.  
  
If a list of captions is given and it matches the incoming image batch, each image uses corresponding caption.


SUPIR_conditioner

SUPIR_decode

SUPIR_encode


SUPIR "first stage" processing.
Encodes and decodes the image using SUPIR's "denoise_encoder", purpose  
is to fix compression artifacts and such, ends up blurring the image often  
which is expected. Can be replaced with any other denoiser/blur or not used at all.


SUPIR_first_stage


Loads the SUPIR model and merges it with the SDXL model.  

Diffusion type should be kept on auto, unless you have issues loading the model.  
fp8_unet casts the unet weights to torch.float8_e4m3fn, which saves a lot of VRAM but has slight quality impact.  
high_vram: uses Accelerate to load weights to GPU, slightly faster model loading.


SUPIR_model_loader_v2


- **latent:**
Latent to sample from, when using SUPIR latent this is just for the noise shape,  
it's actually not used otherwise here. Identical to feeding this comfy empty latent.  
If fed anything else it's used as it is, no noise is added.  
- **cfg:**
Linearly scaled CFG is always used, first step will use the cfg_scale_start value,  
and that is interpolated to the cfg_scale_end value at last step.  
To disable scaling set these values to be the same.  
- **EDM_s_churn:**
controls the rate of adaptation of the diffusion process to changes in noise levels  
over time. Has no effect with DPMPP samplers.  
- **s_noise:**
This parameter directly controls the amount of noise added to the image at each  
step of the diffusion process.  
- **DPMPP_eta:**
Scaling factor that influences the diffusion process by adjusting how the denoising  
process adapts to changes in noise levels over time.
No effect with EDM samplers.  
- **control_scale:**
The strenght of the SUPIR control model, scales linearly from start to end.  
Lower values allow more freedom from the input image.  
- **restore_cfg:**
Controls the degree of restoration towards the original image during the diffusion   
process. It allows for dome fine-tuning of the process.  
- **samplers:**
EDM samplers need lots of steps but generally have better quality.  
DPMPP samplers work well with lower steps, good for lightning models.  
Tiled samplers enable tiled diffusion process, this is very slow but allows higher  
resolutions to be used by saving VRAM.  Tile size should be chosen so the image  
is evenly tiled.  Tile stride affects the overlap of the tiles.  Check the  
SUPIR Tiles -node for preview to understand how the image is tiled.



SUPIR_sample

simple ui edition (keep ratio) (edited resources)

simple ui edition (keep ratio)

simple ui edition

simple ui

v2024-06-21 (edited resources) (edited resources) (edited resources)

v2024-06-21 (edited resources) (edited resources)

v2024-06-21 (edited resources)

SDXL/Juggernaut_RunDiffusionPhoto2_Lightning_4Steps.safetensors

SUPIR-v0F.ckpt

v2024-06-21

SUPIR Lightning ⚡️ Upscale

SUPIR Lightning ⚡️ Upscale

Models

Images

Custom Nodes

Nodes (15)