Issue #2921-Give PNG info to Hypernet previews.

def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log_directory, training_width, training_height, steps, create_image_every, save_hypernetwork_every, template_file, preview_from_txt2img, preview_prompt, preview_negative_prompt, preview_steps, preview_sampler_index, preview_cfg_scale, preview_seed, preview_width, preview_height):

    # images is required here to give training previews their infotext. Importing this at the very top causes a circular dependency.

    from modules import images

    assert hypernetwork_name, 'hypernetwork not selected'

    path = shared.hypernetworks.get(hypernetwork_name, None)

    last_saved_file = "<none>"

    last_saved_image = "<none>"

    forced_filename = "<none>"

    ititial_step = hypernetwork.step or 0

    if ititial_step > steps:

        })

        if hypernetwork.step > 0 and images_dir is not None and hypernetwork.step % create_image_every == 0:

            last_saved_image = os.path.join(images_dir, f'{hypernetwork_name}-{hypernetwork.step}.png')

            forced_filename = f'{hypernetwork_name}-{hypernetwork.step}'

            last_saved_image = os.path.join(images_dir, forced_filename)

            optimizer.zero_grad()

            shared.sd_model.cond_stage_model.to(devices.device)

            if image is not None:

                shared.state.current_image = image

                image.save(last_saved_image)

                last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename)

                last_saved_image += f", prompt: {preview_text}"

        shared.state.job_no = hypernetwork.step