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12 changes: 6 additions & 6 deletions nodes.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@

import comfy.model_management
import comfy.sample
import comfy.sampler_helpers
# import comfy.sampler_helpers

MAX_RESOLUTION=8192

Expand Down Expand Up @@ -211,20 +211,20 @@ def unsampler(self, model, cfg, sampler_name, steps, end_at_step, scheduler, nor
noise = torch.zeros(latent_image.size(), dtype=latent_image.dtype, layout=latent_image.layout, device="cpu")
noise_mask = None
if "noise_mask" in latent:
noise_mask = comfy.sampler_helpers.prepare_mask(latent["noise_mask"], noise.shape, device)
noise_mask = comfy.sample.prepare_mask(latent["noise_mask"], noise.shape, device)

noise = noise.to(device)
latent_image = latent_image.to(device)

conds0 = \
{"positive": comfy.sampler_helpers.convert_cond(positive),
"negative": comfy.sampler_helpers.convert_cond(negative)}
{"positive": comfy.sample.convert_cond(positive),
"negative": comfy.sample.convert_cond(negative)}

conds = {}
for k in conds0:
conds[k] = list(map(lambda a: a.copy(), conds0[k]))

models, inference_memory = comfy.sampler_helpers.get_additional_models(conds, model.model_dtype())
models, inference_memory = comfy.sample.get_additional_models(conds, model.model_dtype())

comfy.model_management.load_models_gpu([model] + models, model.memory_required(noise.shape) + inference_memory)

Expand All @@ -243,7 +243,7 @@ def callback(step, x0, x, total_steps):
samples /= samples.std()
samples = samples.cpu()

comfy.sampler_helpers.cleanup_additional_models(models)
comfy.sample.cleanup_additional_models(models)

out = latent.copy()
out["samples"] = samples
Expand Down