Remove the device-selection widgets that were added directly to existing
loader nodes (and the new CheckpointLoaderDevice / ImageOnlyCheckpointLoaderDevice
variants):
- nodes.py:
- delete CheckpointLoaderDevice class and its NODE_CLASS_MAPPINGS /
NODE_DISPLAY_NAME_MAPPINGS entries
- remove the optional `device` input + VALIDATE_INPUTS + resolve logic
from UNETLoader, VAELoader, CLIPLoader, DualCLIPLoader
- restore CLIPLoader/DualCLIPLoader `device` options to ["default", "cpu"]
- comfy_extras/nodes_video_model.py:
- delete ImageOnlyCheckpointLoaderDevice class + its mapping entries
- comfy_extras/nodes_lt_audio.py:
- restore LTXAVTextEncoderLoader `device` options to ["default", "cpu"]
and revert the resolve logic back to the simple `if device == "cpu"`
branch
The replacement approach is a small set of passthrough Select*Device
nodes (added in the next commit) that retarget MODEL/CLIP/VAE devices
without bloating every loader's UI or duplicating loaders.
The cuda_device_context helper and the model_management helpers
(get_gpu_device_options / resolve_gpu_device_option) from #13483 are
kept; they are still used by the new selector nodes.
Amp-Thread-ID: https://ampcode.com/threads/T-019e52b4-31ee-72cd-996b-64ecd9420e13
Co-authored-by: Amp <amp@ampcode.com>
* Move detection category under image category
* Add missing categories
* Move detection nodes to detection category
* Move save nodes to image root catefory
* Rename postprocessors
* Move mask category under image
* Move guiders category to parent level at root of sampling category
* Move custom_sampling category to parent level at the root of sampling category
* Modify description of LoRA loaders
* Fix node id SolidMask
* Move VOID Quadmask under image/mask
* Group compositing nodes under image/compositing
* Move load image as mask to image category for consistency with other load image nodes
* Align display name with Load Checkpoint
* Move dataset category under training category
* Rename Number Convert to Conver Number (verb first)
* Rename Canny node
* Revert wanBlockSwap + description
* Add description to RemoveBackground node
* Revert category update of dataset
The img2vid model is conditioned on clip vision output only which means
there's no CLIP model which is why I added a ImageOnlyCheckpointLoader to
load it. Note that the unClipCheckpointLoader can also load it because it
also has a CLIP_VISION output.
SDV_img2vid_Conditioning is the node used to pass the right conditioning
to the img2vid model.
VideoLinearCFGGuidance applies a linearly decreasing CFG scale to each
video frame from the cfg set in the sampler node to min_cfg.
SDV_img2vid_Conditioning can be found in conditioning->video_models
ImageOnlyCheckpointLoader can be found in loaders->video_models
VideoLinearCFGGuidance can be found in sampling->video_models
