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https://github.com/vladmandic/automatic
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fix hires batch, sdxl refiner
Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
@@ -199,8 +199,6 @@ def process_hires(p: processing.StableDiffusionProcessing, output):
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if p.is_control and hasattr(p, 'task_args') and p.task_args.get('image', None) is not None:
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if hasattr(shared.sd_model, "vae") and output.images is not None and len(output.images) > 0:
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output.images = processing_vae.vae_decode(latents=output.images, model=shared.sd_model, full_quality=p.full_quality, output_type='pil', width=p.hr_upscale_to_x, height=p.hr_upscale_to_y) # controlnet cannnot deal with latent input
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p.init_images = output.images # replace so hires uses new output
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# p.task_args['image'] = output.images # replace so hires uses new output
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update_sampler(p, shared.sd_model, second_pass=True)
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orig_denoise = p.denoising_strength
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p.denoising_strength = strength
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@@ -289,10 +287,8 @@ def process_refine(p: processing.StableDiffusionProcessing, output):
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image = processing_vae.vae_decode(latents=image, model=shared.sd_model, full_quality=p.full_quality, output_type='pil', width=p.width, height=p.height)
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p.extra_generation_params['Noise level'] = noise_level
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output_type = 'np'
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if p.task_args.get('image', None) is not None and output is not None: # replace input with output so it can be used by hires/refine
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# p.task_args['image'] = image
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p.init_images = [image]
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update_sampler(p, shared.sd_refiner, second_pass=True)
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shared.opts.prompt_attention = 'fixed'
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refiner_args = set_pipeline_args(
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p=p,
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model=shared.sd_refiner,
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@@ -309,6 +305,7 @@ def process_refine(p: processing.StableDiffusionProcessing, output):
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image=image,
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output_type=output_type,
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clip_skip=p.clip_skip,
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prompt_attention='fixed',
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desc='Refiner',
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)
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shared.state.sampling_steps = refiner_args.get('prior_num_inference_steps', None) or p.steps or refiner_args.get('num_inference_steps', None)
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