Latent Upscale Workflow
5.0
1 reviewsDescription
The latent can be upscaled directly but the loss in quality is important. That means that the second pass after the upscale has to be done at a very high denoise (0.55+).
This option is offered as it's very inexpensive computationally and it can be useful if you don't need the final image to be 100% of the initial generation.
If the final image can be rather different from the first pass, you should use latent upscale as it's faster and very light computationally.
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Versions (2)
- latest (8 months ago)
- v20240102-075351
Node Details
Primitive Nodes (2)
Note (2)
Custom Nodes (12)
ComfyUI
- CLIPTextEncode (2)
- SaveImage (1)
- VAEDecode (2)
- PreviewImage (1)
- LatentUpscaleBy (1)
- KSampler (2)
- EmptyLatentImage (1)
- VAELoader (1)
- CheckpointLoaderSimple (1)
Model Details
Checkpoints (1)
dreamshaper_8.safetensors
LoRAs (0)