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Fix lowvram model merging.

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comfyanonymous
2023-08-26 11:52:07 -04:00
parent f72780a7e3
commit a57b0c797b
3 changed files with 15 additions and 7 deletions
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7
comfy/controlnet.py
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@@ -257,12 +257,7 @@ class ControlLora(ControlNet):
cm = self.control_model.state_dict()
for k in sd:
weight = sd[k]
if weight.device == torch.device("meta"): #lowvram NOTE: this depends on the inner working of the accelerate library so it might break.
key_split = k.split('.') # I have no idea why they don't just leave the weight there instead of using the meta device.
op = comfy.utils.get_attr(diffusion_model, '.'.join(key_split[:-1]))
weight = op._hf_hook.weights_map[key_split[-1]]
weight = comfy.model_management.resolve_lowvram_weight(sd[k], diffusion_model, k)
try:
comfy.utils.set_attr(self.control_model, k, weight)
except: