GitLab

shift is 2.0 by default on Stage C and 1.0 by default on Stage B.

This lets you set it so the latents can use the same seed for the sampling
on every image in the batch.

Put the model file in models/photomaker and use PhotoMakerLoader.

Then use PhotoMakerEncode with the keyword "photomaker" to apply the image

This node is unfinished, SVD checkpoints saved with this node will
work with ComfyUI but not with anything else.

This node lets you generate a batch of images with different elevations or
azimuths by setting the elevation_batch_increment and/or
azimuth_batch_increment.

It also sets the batch index for the latents so that the same init noise is
used on each frame.

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.

Moved all the sag related code to comfy_extras/nodes_sag.py

* First SAG test

* need to put extra options on the model instead of patcher

* no errors and results seem not-broken

* Use @ashen-uncensored formula, which works better!!!

* Fix a crash when using weird resolutions. Remove an unnecessary UNet call

* Improve comments, optimize memory in blur routine

* SAG works with sampler_cfg_function