psychedelicious 026d095afe fix(nodes): do not set seed on output latents from denoise latents ... `LatentsField` objects have an optional `seed` field. This should only be populated when the latents are noise, generated from a seed. `DenoiseLatentsInvocation` needs a seed value for scheduler initialization. It's used in a few places, and there is some logic for determining the seed to use with a series of fallbacks: - Use the seed from the noise (a `LatentsField` object) - Use the seed from the latents (a `LatentsField` object - normally it won't have a seed) - Use `0` as a final fallback In `DenoisLatentsInvocation`, we set the seed in the `LatentsOutput`, even though the output latents are not noise. This is normally fine, but when we use refiner, we re-use the those same latents for the refiner denoise. This causes that characteristic same-seed-fried look on the refiner pass. Simple fix - do not set the field in the output latents.		2024-04-11 07:21:50 -04:00
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app	fix(nodes): do not set seed on output latents from denoise latents	2024-04-11 07:21:50 -04:00
assets	feat(api): chore: pydantic & fastapi upgrade	2023-10-17 14:59:25 +11:00
backend	Fix the padding behavior when max-pooling regional IP-Adapter masks to mirror the downscaling behavior of SD and SDXL. Prior to this change, denoising with input latent dimensions that were not evenly divisible by 8 would raise an exception.	2024-04-09 16:50:43 -04:00
configs	fix(mm): add missing v2-midas-inference.yaml	2024-03-27 07:48:54 -04:00
frontend	fix(ui): canvas staging area & batch handling fixes	2024-04-10 21:48:34 +10:00
invocation_api	Remove support for Prompt-to-Prompt cross-attention control (aka .swap()). This feature is not widely used. It does not work with SDXL and is incompatible with IP-Adapter and regional prompting. The implementation is also intertwined with both text embedding and the UNet attention layers, resulting in a high maintenance burden. For all of these reasons, we have decided to drop support.	2024-04-09 10:57:02 -04:00
version	chore: v4.0.4	2024-04-06 15:15:16 +11:00
__init__.py