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You can use the CLIPLoader to use the t5xxl only or the DualCLIPLoader to
use CLIP-L and CLIP-G only for sd3.

This is the code to load the model and inference it with only a text
prompt. This commit does not contain the nodes to properly use it with an
image input.

This supports both the original SD1 instructpix2pix model and the
diffusers SDXL one.

Use the UNET Loader node to load the unet file to use them.

Fix issue with not loading the SSD1B clip correctly.

This is an old model.

Load the checkpoint like a regular one and use the new
SD_4XUpscale_Conditioning node.

To use it use the ImageOnlyCheckpointLoader to load the checkpoint and
the new Stable_Zero123 node.

This is to make it match the official checkpoint.

The created checkpoints contain workflow metadata that can be loaded by
dragging them on top of the UI or loading them with the "Load" button.

Checkpoints will be saved in fp16 or fp32 depending on the format ComfyUI
is using for inference on your hardware. To force fp32 use: --force-fp32

Anything that patches the model weights like merging or loras will be
saved.

The output directory is currently set to: output/checkpoints but that might
change in the future.