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fix image metadata and diffuser search

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This commit is contained in:
Vladimir Mandic
2023-07-18 20:41:45 -04:00
parent c9d1829ea5
commit 46709ee391
3 changed files with 9 additions and 7 deletions
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modules/processing.py
+4 -2
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@@ -456,7 +456,7 @@ def create_infotext(p: StableDiffusionProcessing, all_prompts, all_seeds, all_su
"Sampler": p.sampler_name,
"Latent sampler": p.latent_sampler,
"CFG scale": p.cfg_scale,
"Image CFG scale": p.image_cfg_scale,
"Image CFG scale": p.image_cfg_scale if p.enable_hr else None,
"Seed": all_seeds[index],
"Face restoration": shared.opts.face_restoration_model if p.restore_faces else None,
"Size": f"{p.width}x{p.height}",
@@ -467,7 +467,7 @@ def create_infotext(p: StableDiffusionProcessing, all_prompts, all_seeds, all_su
"Variation seed": None if p.subseed_strength == 0 else all_subseeds[index],
"Variation seed strength": None if p.subseed_strength == 0 else p.subseed_strength,
"Seed resize from": None if p.seed_resize_from_w == 0 or p.seed_resize_from_h == 0 else f"{p.seed_resize_from_w}x{p.seed_resize_from_h}",
"Denoising strength": p.denoising_strength,
"Denoising strength": p.denoising_strength if p.enable_hr else None,
"Conditional mask weight": getattr(p, "inpainting_mask_weight", shared.opts.inpainting_mask_weight) if p.is_using_inpainting_conditioning else None,
"Clip skip": p.clip_skip if p.clip_skip > 1 else None,
"ENSD": shared.opts.eta_noise_seed_delta if uses_ensd else None,
@@ -476,6 +476,8 @@ def create_infotext(p: StableDiffusionProcessing, all_prompts, all_seeds, all_su
"Token merging ratio": None if token_merging_ratio == 0 else token_merging_ratio,
"Token merging ratio hr": None if not p.enable_hr or token_merging_ratio_hr == 0 else token_merging_ratio_hr,
"Parser": shared.opts.prompt_attention,
"Denoise start": p.refiner_denoise_start if p.enable_hr else None,
"Denoise end": p.refiner_denoise_end if p.enable_hr else None,
}
generation_params.update(p.extra_generation_params)
generation_params_text = ", ".join([k if k == v else f'{k}: {generation_parameters_copypaste.quote(v)}' for k, v in generation_params.items() if v is not None])