mirror of
https://github.com/easydiffusion/easydiffusion.git
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commit
d2b5d6cce9
@ -1,5 +1,5 @@
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diff --git a/ldm/models/diffusion/ddim.py b/ldm/models/diffusion/ddim.py
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diff --git a/ldm/models/diffusion/ddim.py b/ldm/models/diffusion/ddim.py
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index 27ead0e..6215939 100644
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index 27ead0e..e0ff53f 100644
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--- a/ldm/models/diffusion/ddim.py
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--- a/ldm/models/diffusion/ddim.py
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+++ b/ldm/models/diffusion/ddim.py
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+++ b/ldm/models/diffusion/ddim.py
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@@ -100,7 +100,7 @@ class DDIMSampler(object):
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@@ -100,7 +100,7 @@ class DDIMSampler(object):
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@ -40,6 +40,26 @@ index 27ead0e..6215939 100644
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@torch.no_grad()
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@torch.no_grad()
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def p_sample_ddim(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,
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def p_sample_ddim(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,
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@@ -315,7 +317,7 @@ class DDIMSampler(object):
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@torch.no_grad()
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def decode(self, x_latent, cond, t_start, unconditional_guidance_scale=1.0, unconditional_conditioning=None,
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- use_original_steps=False, callback=None):
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+ use_original_steps=False, callback=None, img_callback=None):
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timesteps = np.arange(self.ddpm_num_timesteps) if use_original_steps else self.ddim_timesteps
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timesteps = timesteps[:t_start]
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@@ -332,5 +334,6 @@ class DDIMSampler(object):
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x_dec, _ = self.p_sample_ddim(x_dec, cond, ts, index=index, use_original_steps=use_original_steps,
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unconditional_guidance_scale=unconditional_guidance_scale,
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unconditional_conditioning=unconditional_conditioning)
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- if callback: callback(i)
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- return x_dec
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\ No newline at end of file
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+ if callback: yield from callback(i)
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+ if img_callback: yield from img_callback(x_dec, i)
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+ yield from img_callback(x_dec, len(iterator)-1)
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\ No newline at end of file
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diff --git a/ldm/models/diffusion/plms.py b/ldm/models/diffusion/plms.py
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diff --git a/ldm/models/diffusion/plms.py b/ldm/models/diffusion/plms.py
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index 7002a36..0951f39 100644
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index 7002a36..0951f39 100644
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--- a/ldm/models/diffusion/plms.py
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--- a/ldm/models/diffusion/plms.py
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