fix btoken hypernetworks in XY plot
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77a719648d
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@ -49,15 +49,18 @@ def list_hypernetworks(path):
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def load_hypernetwork(filename):
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print(f"Loading hypernetwork {filename}")
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path = shared.hypernetworks.get(filename, None)
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if (path is not None):
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if path is not None:
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print(f"Loading hypernetwork {filename}")
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try:
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shared.loaded_hypernetwork = Hypernetwork(path)
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except Exception:
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print(f"Error loading hypernetwork {path}", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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else:
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if shared.loaded_hypernetwork is not None:
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print(f"Unloading hypernetwork")
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shared.loaded_hypernetwork = None
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@ -10,7 +10,7 @@ import numpy as np
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import modules.scripts as scripts
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import gradio as gr
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from modules import images
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from modules import images, hypernetwork
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from modules.processing import process_images, Processed, get_correct_sampler
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from modules.shared import opts, cmd_opts, state
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import modules.shared as shared
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@ -80,8 +80,7 @@ def apply_checkpoint(p, x, xs):
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def apply_hypernetwork(p, x, xs):
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hn = shared.hypernetworks.get(x, None)
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opts.data["sd_hypernetwork"] = hn.name if hn is not None else 'None'
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hypernetwork.load_hypernetwork(x)
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def format_value_add_label(p, opt, x):
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@ -203,8 +202,6 @@ class Script(scripts.Script):
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p.batch_size = 1
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initial_hn = opts.sd_hypernetwork
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def process_axis(opt, vals):
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if opt.label == 'Nothing':
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return [0]
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@ -321,6 +318,6 @@ class Script(scripts.Script):
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# restore checkpoint in case it was changed by axes
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modules.sd_models.reload_model_weights(shared.sd_model)
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opts.data["sd_hypernetwork"] = initial_hn
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hypernetwork.load_hypernetwork(opts.sd_hypernetwork)
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return processed
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