Fixed img2imgalt after inpainting update
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ffea9b1509
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1 changed files with 7 additions and 1 deletions
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@ -34,6 +34,9 @@ def find_noise_for_image(p, cond, uncond, cfg_scale, steps):
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sigma_in = torch.cat([sigmas[i] * s_in] * 2)
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cond_in = torch.cat([uncond, cond])
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image_conditioning = torch.cat([p.image_conditioning] * 2)
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cond_in = {"c_concat": [image_conditioning], "c_crossattn": [cond_in]}
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c_out, c_in = [K.utils.append_dims(k, x_in.ndim) for k in dnw.get_scalings(sigma_in)]
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t = dnw.sigma_to_t(sigma_in)
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@ -78,6 +81,9 @@ def find_noise_for_image_sigma_adjustment(p, cond, uncond, cfg_scale, steps):
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sigma_in = torch.cat([sigmas[i - 1] * s_in] * 2)
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cond_in = torch.cat([uncond, cond])
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image_conditioning = torch.cat([p.image_conditioning] * 2)
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cond_in = {"c_concat": [image_conditioning], "c_crossattn": [cond_in]}
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c_out, c_in = [K.utils.append_dims(k, x_in.ndim) for k in dnw.get_scalings(sigma_in)]
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if i == 1:
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@ -194,7 +200,7 @@ class Script(scripts.Script):
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p.seed = p.seed + 1
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return sampler.sample_img2img(p, p.init_latent, noise_dt, conditioning, unconditional_conditioning)
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return sampler.sample_img2img(p, p.init_latent, noise_dt, conditioning, unconditional_conditioning, image_conditioning=p.image_conditioning)
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p.sample = sample_extra
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