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Merge branch 'comfyanonymous:master' into feature/settings

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Dr.Lt.Data 2023-06-26 22:28:32 +09:00 committed by GitHub
commit 34c6f075ce
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2 changed files with 12 additions and 1 deletions
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8
comfy/ldm/models/diffusion/ddim.py
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@ -180,6 +180,12 @@ class DDIMSampler(object):
)
return samples, intermediates
def q_sample(self, x_start, t, noise=None):
if noise is None:
noise = torch.randn_like(x_start)
return (extract_into_tensor(self.sqrt_alphas_cumprod, t, x_start.shape) * x_start +
extract_into_tensor(self.sqrt_one_minus_alphas_cumprod, t, x_start.shape) * noise)
@torch.no_grad()
def ddim_sampling(self, cond, shape,
x_T=None, ddim_use_original_steps=False,
@ -214,7 +220,7 @@ class DDIMSampler(object):
if mask is not None:
assert x0 is not None
img_orig = self.model.q_sample(x0, ts) # TODO: deterministic forward pass?
img_orig = self.q_sample(x0, ts) # TODO: deterministic forward pass?
img = img_orig * mask + (1. - mask) * img
if ucg_schedule is not None:

5
comfy/sd.py
View File

@ -285,6 +285,11 @@ def model_lora_keys(model, key_map={}):
if key_in:
counter += 1
for k in sdk:
if k.startswith("diffusion_model.") and k.endswith(".weight"):
key_lora = k[len("diffusion_model."):-len(".weight")].replace(".", "_")
key_map["lora_unet_{}".format(key_lora)] = k
return key_map