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custom_nodes
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fix(nodes): gracefully handle custom nodes init error
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2024-04-02 13:25:14 +11:00 |
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__init__.py
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fix(config): remove unnecessary resolve on config path
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2024-03-19 09:24:28 +11:00 |
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baseinvocation.py
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feat(app): dynamic type adapters for invocations & outputs
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2024-05-30 12:03:38 +10:00 |
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blend_latents.py
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Move BlendLatentsInvocation to its own file. No functional changes.
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2024-06-07 09:28:42 -04:00 |
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collections.py
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fix(nodes): restore type annotations for InvocationContext
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2024-03-01 10:42:33 +11:00 |
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compel.py
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LoRA patching optimization (#6439)
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2024-06-06 13:53:35 +00:00 |
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constants.py
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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.
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2024-06-14 11:26:10 -07:00 |
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controlnet_image_processors.py
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replace load_and_cache_model() with load_remote_model() and load_local_odel()
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2024-06-07 14:12:16 +10:00 |
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create_denoise_mask.py
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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.
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2024-06-14 11:26:10 -07:00 |
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create_gradient_mask.py
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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.
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2024-06-14 11:26:10 -07:00 |
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crop_latents.py
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Move CropLatentsCoreInvocation to its own file. No functional changes.
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2024-06-07 09:28:42 -04:00 |
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cv.py
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chore: bump nodes versions
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2024-03-20 10:28:07 +11:00 |
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denoise_latents.py
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Revert "Remove the redundant init_timestep parameter that was being passed around. It is simply the first element of the timesteps array."
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2024-06-26 12:51:51 -04:00 |
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facetools.py
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chore: bump nodes versions
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2024-03-20 10:28:07 +11:00 |
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fields.py
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Rename MaskField to be a generice TensorField.
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2024-04-09 08:12:12 -04:00 |
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ideal_size.py
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Move IdealSizeInvocation to its own file. No functional changes.
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2024-06-07 09:28:42 -04:00 |
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image_to_latents.py
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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.
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2024-06-14 11:26:10 -07:00 |
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image.py
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feat(nodes): use new blur_if_nsfw method
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2024-05-14 07:23:38 +10:00 |
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infill.py
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replace load_and_cache_model() with load_remote_model() and load_local_odel()
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2024-06-07 14:12:16 +10:00 |
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ip_adapter.py
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feat(nodes): make all ModelIdentifierField inputs accept connections
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2024-05-19 20:14:01 +10:00 |
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latents_to_image.py
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Revert "Expose vae_decode(...) as a staticmethod on LatentsToImageInvocation."
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2024-06-25 11:31:52 -07:00 |
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mask.py
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fix ruff
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2024-06-03 11:41:47 -07:00 |
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math.py
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chore: bump nodes versions
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2024-03-20 10:28:07 +11:00 |
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metadata.py
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tidy(nodes): move cnet mode literals to utils
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2024-04-25 13:20:09 +10:00 |
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model.py
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feat(nodes): make ModelIdentifierInvocation a prototype
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2024-05-19 20:14:01 +10:00 |
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noise.py
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[util] Add generic torch device class (#6174)
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2024-04-15 13:12:49 +00:00 |
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param_easing.py
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chore: bump nodes versions
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2024-03-20 10:28:07 +11:00 |
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primitives.py
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Rename MaskField to be a generice TensorField.
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2024-04-09 08:12:12 -04:00 |
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prompt.py
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chore: bump nodes versions
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2024-03-20 10:28:07 +11:00 |
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resize_latents.py
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Move ScaleLatentsInvocation and ResizeLatentsInvocation to their own file. No functional changes.
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2024-06-07 09:28:42 -04:00 |
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scheduler.py
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Move SchedulerInvocation to a new file. No functional changes.
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2024-06-07 09:28:42 -04:00 |
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sdxl.py
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feat(nodes): make all ModelIdentifierField inputs accept connections
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2024-05-19 20:14:01 +10:00 |
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strings.py
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chore: bump nodes versions
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2024-03-20 10:28:07 +11:00 |
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t2i_adapter.py
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feat(nodes): make all ModelIdentifierField inputs accept connections
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2024-05-19 20:14:01 +10:00 |
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tiled_multi_diffusion_denoise_latents.py
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Revert "Remove the redundant init_timestep parameter that was being passed around. It is simply the first element of the timesteps array."
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2024-06-26 12:51:51 -04:00 |
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tiles.py
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chore: bump nodes versions
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2024-03-20 10:28:07 +11:00 |
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upscale.py
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replace load_and_cache_model() with load_remote_model() and load_local_odel()
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2024-06-07 14:12:16 +10:00 |
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util.py
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fix(nodes): fix constraints/validation for controlnet
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2024-01-02 07:28:53 -05:00 |
