diff options
| author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-05-14 08:46:27 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-05-14 08:46:27 +0000 |
| commit | 80adb6979d46bbb832254004cac4f4f9bec9efb3 (patch) | |
| tree | e206ee60f9be21e9e20d483213b7d0a610d2bdbd /scripts/img2imgalt.py | |
| parent | 1dcd6723242c3d691610f9ed937951baea49c2d1 (diff) | |
| parent | 3ddc76342298ad0b2d14cb571ceb48c0b0c4176d (diff) | |
| download | stable-diffusion-webui-gfx803-80adb6979d46bbb832254004cac4f4f9bec9efb3.tar.gz stable-diffusion-webui-gfx803-80adb6979d46bbb832254004cac4f4f9bec9efb3.tar.bz2 stable-diffusion-webui-gfx803-80adb6979d46bbb832254004cac4f4f9bec9efb3.zip | |
Merge branch 'dev' into find_vae
Diffstat (limited to 'scripts/img2imgalt.py')
| -rw-r--r-- | scripts/img2imgalt.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/scripts/img2imgalt.py b/scripts/img2imgalt.py index bb00fb3f..1e833fa8 100644 --- a/scripts/img2imgalt.py +++ b/scripts/img2imgalt.py @@ -149,9 +149,9 @@ class Script(scripts.Script): sigma_adjustment = gr.Checkbox(label="Sigma adjustment for finding noise for image", value=False, elem_id=self.elem_id("sigma_adjustment"))
return [
- info,
+ info,
override_sampler,
- override_prompt, original_prompt, original_negative_prompt,
+ override_prompt, original_prompt, original_negative_prompt,
override_steps, st,
override_strength,
cfg, randomness, sigma_adjustment,
@@ -191,17 +191,17 @@ class Script(scripts.Script): self.cache = Cached(rec_noise, cfg, st, lat, original_prompt, original_negative_prompt, sigma_adjustment)
rand_noise = processing.create_random_tensors(p.init_latent.shape[1:], seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, seed_resize_from_h=p.seed_resize_from_h, seed_resize_from_w=p.seed_resize_from_w, p=p)
-
+
combined_noise = ((1 - randomness) * rec_noise + randomness * rand_noise) / ((randomness**2 + (1-randomness)**2) ** 0.5)
-
+
sampler = sd_samplers.create_sampler(p.sampler_name, p.sd_model)
sigmas = sampler.model_wrap.get_sigmas(p.steps)
-
+
noise_dt = combined_noise - (p.init_latent / sigmas[0])
-
+
p.seed = p.seed + 1
-
+
return sampler.sample_img2img(p, p.init_latent, noise_dt, conditioning, unconditional_conditioning, image_conditioning=p.image_conditioning)
p.sample = sample_extra
|