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Signed-off-by: Vladimir Mandic <mandic00@live.com>
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Vladimir Mandic
2026-06-04 12:36:10 +02:00
parent 0bfcdabbbb
commit 5e99dee3c2
103 changed files with 264 additions and 254 deletions
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modules/processing_diffusers.py
+1 -1
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@@ -297,7 +297,7 @@ def process_hires(p: processing.StableDiffusionProcessing, output):
output.images = processing_vae.vae_decode(latents=output.images, model=shared.sd_model, vae_type=p.vae_type, output_type='pil', width=p.width, height=p.height)
if p.is_control and hasattr(p, 'task_args') and p.task_args.get('image', None) is not None:
if hasattr(shared.sd_model, "vae") and output.images is not None and len(output.images) > 0:
output.images = processing_vae.vae_decode(latents=output.images, model=shared.sd_model, vae_type=p.vae_type, output_type='pil', width=p.hr_upscale_to_x, height=p.hr_upscale_to_y) # controlnet cannnot deal with latent input
output.images = processing_vae.vae_decode(latents=output.images, model=shared.sd_model, vae_type=p.vae_type, output_type='pil', width=p.hr_upscale_to_x, height=p.hr_upscale_to_y) # controlnet cannot deal with latent input
update_sampler(p, shared.sd_model, second_pass=True)
orig_denoise = p.denoising_strength
p.denoising_strength = strength