Stable Diffusion 3.5 Blur Controlnet Automatic Captioned Upscaling
5.0
0 reviewsDescription
Upscaling images using the SD3.5 blur controlnet, using Florence2 to automatically provide different text prompts for CLIP and T5 encoders.
Blurring of the original image is optional and does not seem to have a large effect.
Reduce the tiled diffusion batch size for lower VRAM usage.
Controlnet strength seems to work best around 0.25-0.33 for slightly creative upscaling. Might have to end much earlier than 1.0 to reduce artifacts.
Denoising strength might be best between 0.5-0.75 but needs more testing.
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- latest (a year ago)
Node Details
Primitive Nodes (7)
CLIPTextEncodeSD3 (1)
Florence2ModelLoader (1)
Florence2Run (2)
Image Comparer (rgthree) (1)
ModelSamplingSD3 (1)
TripleCLIPLoader (1)
Custom Nodes (16)
ComfyUI
- SaveImage (1)
- VAEDecode (1)
- VAEEncode (1)
- ImageScaleToTotalPixels (1)
- PreviewImage (1)
- CLIPTextEncode (1)
- ImageBlur (1)
- CheckpointLoaderSimple (1)
- ControlNetLoader (1)
- LoadImage (1)
- KSampler (1)
- ControlNetApplyAdvanced (1)
- ShowText|pysssss (2)
- SDXLPromptStyler (1)
- TiledDiffusion (1)
Model Details
Checkpoints (1)
SD35/sd3.5_large_fp8_scaled.safetensors
LoRAs (0)