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InvokeAI/invokeai/app/invocations
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Ryan Dick c1afe35704 Add prototype invocation for running upscaling models with spandrel.
2024-07-03 16:28:21 -04:00
..
custom_nodes fix(nodes): gracefully handle custom nodes init error 2024-04-02 13:25:14 +11:00
__init__.py fix(config): remove unnecessary resolve on config path 2024-03-19 09:24:28 +11:00
baseinvocation.py feat(app): dynamic type adapters for invocations & outputs 2024-05-30 12:03:38 +10:00
blend_latents.py Move BlendLatentsInvocation to its own file. No functional changes. 2024-06-07 09:28:42 -04:00
collections.py fix(nodes): restore type annotations for InvocationContext 2024-03-01 10:42:33 +11:00
compel.py LoRA patching optimization (#6439) 2024-06-06 13:53:35 +00:00
constants.py Fix all comparisons against the DEFAULT_PRECISION constant. DEFAULT_PRECISION is a torch.dtype. Previously, it was compared to a str in a number of places where it would always resolve to False. This is a bugfix that results in a change to the default behavior. In practice, this will not change the behavior for many users, because it only causes a change in behavior if a users has configured float32 as their default precision. 2024-06-14 11:26:10 -07:00
controlnet_image_processors.py replace load_and_cache_model() with load_remote_model() and load_local_odel() 2024-06-07 14:12:16 +10:00
create_denoise_mask.py Fix all comparisons against the DEFAULT_PRECISION constant. DEFAULT_PRECISION is a torch.dtype. Previously, it was compared to a str in a number of places where it would always resolve to False. This is a bugfix that results in a change to the default behavior. In practice, this will not change the behavior for many users, because it only causes a change in behavior if a users has configured float32 as their default precision. 2024-06-14 11:26:10 -07:00
create_gradient_mask.py Fix all comparisons against the DEFAULT_PRECISION constant. DEFAULT_PRECISION is a torch.dtype. Previously, it was compared to a str in a number of places where it would always resolve to False. This is a bugfix that results in a change to the default behavior. In practice, this will not change the behavior for many users, because it only causes a change in behavior if a users has configured float32 as their default precision. 2024-06-14 11:26:10 -07:00
crop_latents.py Move CropLatentsCoreInvocation to its own file. No functional changes. 2024-06-07 09:28:42 -04:00
cv.py chore: bump nodes versions 2024-03-20 10:28:07 +11:00
denoise_latents.py Revert "Remove the redundant init_timestep parameter that was being passed around. It is simply the first element of the timesteps array." 2024-06-26 12:51:51 -04:00
facetools.py chore: bump nodes versions 2024-03-20 10:28:07 +11:00
fields.py Expose the VAE tile_size on the VAE encode and decode invocations. 2024-07-02 09:07:03 -04:00
ideal_size.py Move IdealSizeInvocation to its own file. No functional changes. 2024-06-07 09:28:42 -04:00
image_to_latents.py Expose the VAE tile_size on the VAE encode and decode invocations. 2024-07-02 09:07:03 -04:00
image.py feat(nodes): use new blur_if_nsfw method 2024-05-14 07:23:38 +10:00
infill.py replace load_and_cache_model() with load_remote_model() and load_local_odel() 2024-06-07 14:12:16 +10:00
ip_adapter.py feat(nodes): make all ModelIdentifierField inputs accept connections 2024-05-19 20:14:01 +10:00
latents_to_image.py Expose the VAE tile_size on the VAE encode and decode invocations. 2024-07-02 09:07:03 -04:00
mask.py fix ruff 2024-06-03 11:41:47 -07:00
math.py chore: bump nodes versions 2024-03-20 10:28:07 +11:00
metadata.py tidy(nodes): move cnet mode literals to utils 2024-04-25 13:20:09 +10:00
model.py feat(nodes): make ModelIdentifierInvocation a prototype 2024-05-19 20:14:01 +10:00
noise.py [util] Add generic torch device class (#6174) 2024-04-15 13:12:49 +00:00
param_easing.py chore: bump nodes versions 2024-03-20 10:28:07 +11:00
primitives.py Rename MaskField to be a generice TensorField. 2024-04-09 08:12:12 -04:00
prompt.py chore: bump nodes versions 2024-03-20 10:28:07 +11:00
resize_latents.py Move ScaleLatentsInvocation and ResizeLatentsInvocation to their own file. No functional changes. 2024-06-07 09:28:42 -04:00
scheduler.py Move SchedulerInvocation to a new file. No functional changes. 2024-06-07 09:28:42 -04:00
sdxl.py feat(nodes): make all ModelIdentifierField inputs accept connections 2024-05-19 20:14:01 +10:00
spandrel_upscale.py Add prototype invocation for running upscaling models with spandrel. 2024-07-03 16:28:21 -04:00
strings.py chore: bump nodes versions 2024-03-20 10:28:07 +11:00
t2i_adapter.py feat(nodes): make all ModelIdentifierField inputs accept connections 2024-05-19 20:14:01 +10:00
tiled_multi_diffusion_denoise_latents.py Revert "Remove the redundant init_timestep parameter that was being passed around. It is simply the first element of the timesteps array." 2024-06-26 12:51:51 -04:00
tiles.py chore: bump nodes versions 2024-03-20 10:28:07 +11:00
upscale.py replace load_and_cache_model() with load_remote_model() and load_local_odel() 2024-06-07 14:12:16 +10:00
util.py fix(nodes): fix constraints/validation for controlnet 2024-01-02 07:28:53 -05:00