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add remote vae

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2025-02-22 12:50:18 -05:00
parent f8f987fed6
commit 1b2d4286b5
21 changed files with 133 additions and 70 deletions
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modules/processing_args.py
+1 -1
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@@ -79,7 +79,7 @@ def task_specific_kwargs(p, model):
}
if model.__class__.__name__ == 'LatentConsistencyModelPipeline' and hasattr(p, 'init_images') and len(p.init_images) > 0:
p.ops.append('lcm')
init_latents = [processing_vae.vae_encode(image, model=shared.sd_model, full_quality=p.full_quality).squeeze(dim=0) for image in p.init_images]
init_latents = [processing_vae.vae_encode(image, model=shared.sd_model, vae_type=p.vae_type).squeeze(dim=0) for image in p.init_images]
init_latent = torch.stack(init_latents, dim=0).to(shared.device)
init_noise = p.denoising_strength * processing.create_random_tensors(init_latent.shape[1:], seeds=p.all_seeds, subseeds=p.all_subseeds, subseed_strength=p.subseed_strength, p=p)
init_latent = (1 - p.denoising_strength) * init_latent + init_noise