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Author SHA1 Message Date
amatiramisu
aeb2730df0
Merge 76909f1dfa into 7ac999bf30 2026-01-16 22:53:30 -08:00
comfyanonymous
7ac999bf30
Add image sizes to clip vision outputs. (#11923)
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2026-01-16 23:02:28 -05:00
amatiramisu
76909f1dfa
Fix dpmpp_2s_ancestral_cfg_pp: save temp[0] before second model call
temp[0] (uncond_denoised) was getting overwritten by the second model call before being used in the final x calculation.
2026-01-16 14:52:18 +01:00
2 changed files with 4 additions and 2 deletions

View File

@ -66,6 +66,7 @@ class ClipVisionModel():
outputs = Output()
outputs["last_hidden_state"] = out[0].to(comfy.model_management.intermediate_device())
outputs["image_embeds"] = out[2].to(comfy.model_management.intermediate_device())
outputs["image_sizes"] = [pixel_values.shape[1:]] * pixel_values.shape[0]
if self.return_all_hidden_states:
all_hs = out[1].to(comfy.model_management.intermediate_device())
outputs["penultimate_hidden_states"] = all_hs[:, -2]

View File

@ -1322,9 +1322,10 @@ def sample_dpmpp_2s_ancestral_cfg_pp(model, x, sigmas, extra_args=None, callback
r = 1 / 2
h = t_next - t
s = t + r * h
x_2 = (sigma_fn(s) / sigma_fn(t)) * (x + (denoised - temp[0])) - (-h * r).expm1() * denoised
uncond_denoised = temp[0]
x_2 = (sigma_fn(s) / sigma_fn(t)) * (x + (denoised - uncond_denoised)) - (-h * r).expm1() * denoised
denoised_2 = model(x_2, sigma_fn(s) * s_in, **extra_args)
x = (sigma_fn(t_next) / sigma_fn(t)) * (x + (denoised - temp[0])) - (-h).expm1() * denoised_2
x = (sigma_fn(t_next) / sigma_fn(t)) * (x + (denoised - uncond_denoised)) - (-h).expm1() * denoised_2
# Noise addition
if sigmas[i + 1] > 0:
x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up