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add models_not_to_quant option

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2025-09-11 12:31:07 -04:00
parent 2bb96e6926
commit 7940217764
15 changed files with 59 additions and 31 deletions
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modules/processing_diffusers.py
+3 -2
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@@ -144,7 +144,8 @@ def process_base(p: processing.StableDiffusionProcessing):
denoising_start=0 if use_refiner_start else p.refiner_start if use_denoise_start else None,
denoising_end=p.refiner_start if use_refiner_start else 1 if use_denoise_start else None,
num_frames=getattr(p, 'frames', 1),
output_type='latent',
# output_type='latent',
output_type='np',
clip_skip=p.clip_skip,
desc=desc,
)
@@ -348,7 +349,7 @@ def process_refine(p: processing.StableDiffusionProcessing, output):
for i in range(len(output.images)):
image = output.images[i]
noise_level = round(350 * p.denoising_strength)
output_type='latent'
output_type = 'latent'
if 'Upscale' in shared.sd_refiner.__class__.__name__ or 'Flux' in shared.sd_refiner.__class__.__name__ or 'Kandinsky' in shared.sd_refiner.__class__.__name__:
image = processing_vae.vae_decode(latents=image, model=shared.sd_model, vae_type=p.vae_type, output_type='pil', width=p.width, height=p.height)
p.extra_generation_params['Noise level'] = noise_level