Add Denoising Strength to output parameters in the output text
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5e83e7081a
commit
055dd10aae
26
webui.py
26
webui.py
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@ -547,7 +547,7 @@ def get_learned_conditioning_with_embeddings(model, prompts):
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return model.get_learned_conditioning(prompts)
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def process_images(outpath, func_init, func_sample, prompt, seed, sampler_index, batch_size, n_iter, steps, cfg_scale, width, height, prompt_matrix, use_GFPGAN, do_not_save_grid=False):
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def process_images(outpath, func_init, func_sample, prompt, seed, sampler_index, batch_size, n_iter, steps, cfg_scale, width, height, prompt_matrix, use_GFPGAN, do_not_save_grid=False, extra_generation_params=None):
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"""this is the main loop that both txt2img and img2img use; it calls func_init once inside all the scopes and func_sample once per batch"""
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assert prompt is not None
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@ -598,11 +598,21 @@ def process_images(outpath, func_init, func_sample, prompt, seed, sampler_index,
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all_prompts = batch_size * n_iter * [prompt]
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all_seeds = [seed + x for x in range(len(all_prompts))]
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generation_params = {
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"Steps": steps,
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"Sampler": samplers[sampler_index].name,
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"CFG scale": cfg_scale,
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"Seed": seed,
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"GFPGAN": ("GFPGAN" if use_GFPGAN and GFPGAN is not None else None)
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}
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if extra_generation_params is not None:
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generation_params.update(extra_generation_params)
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generation_params_text = ", ".join([k if k == v else f'{k}: {v}' for k, v in generation_params.items() if v is not None])
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def infotext():
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return f"""
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{prompt}
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Steps: {steps}, Sampler: {samplers[sampler_index].name}, CFG scale: {cfg_scale}, Seed: {seed}{', GFPGAN' if use_GFPGAN and GFPGAN is not None else ''}
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""".strip() + "".join(["\n\n" + x for x in comments])
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return f"{prompt}\n{generation_params_text}".strip() + "".join(["\n\n" + x for x in comments])
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if os.path.exists(cmd_opts.embeddings_dir):
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text_inversion_embeddings.load(cmd_opts.embeddings_dir, model)
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@ -824,7 +834,8 @@ def img2img(prompt: str, init_img, ddim_steps: int, use_GFPGAN: bool, prompt_mat
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height=height,
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prompt_matrix=prompt_matrix,
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use_GFPGAN=use_GFPGAN,
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do_not_save_grid=True
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do_not_save_grid=True,
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extra_generation_params = {"Denoising Strength": denoising_strength},
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)
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if initial_seed is None:
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@ -858,7 +869,8 @@ def img2img(prompt: str, init_img, ddim_steps: int, use_GFPGAN: bool, prompt_mat
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width=width,
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height=height,
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prompt_matrix=prompt_matrix,
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use_GFPGAN=use_GFPGAN
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use_GFPGAN=use_GFPGAN,
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extra_generation_params = {"Denoising Strength": denoising_strength},
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)
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del sampler
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