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restructure api examples

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Vladimir Mandic
2024-06-14 10:27:49 -04:00
parent 3f1c236ce4
commit 945da97d32
21 changed files with 162 additions and 901 deletions
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modules/processing_helpers.py
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@@ -390,6 +390,9 @@ def resize_hires(p, latents): # input=latents output=pil if not latent_upscaler
if latent_upscaler is not None:
return torch.nn.functional.interpolate(latents, size=(p.hr_upscale_to_y // 8, p.hr_upscale_to_x // 8), mode=latent_upscaler["mode"], antialias=latent_upscaler["antialias"])
first_pass_images = processing_vae.vae_decode(latents=latents, model=shared.sd_model, full_quality=p.full_quality, output_type='pil')
if p.hr_upscale_to_x == 0 or p.hr_upscale_to_y == 0 and hasattr(p, 'init_hr'):
shared.log.error('Hires: missing upscaling dimensions')
return first_pass_images
resized_images = []
for img in first_pass_images:
if latent_upscaler is None: