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fix xyz with lora none

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2024-12-21 10:56:24 -05:00
parent 8924e5bc5d
commit c3f02f11e4
4 changed files with 9 additions and 4 deletions
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modules/processing_args.py
+4 -1
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@@ -320,11 +320,14 @@ def set_pipeline_args(p, model, prompts: list, negative_prompts: list, prompts_2
clean['negative_prompt'] = len(clean['negative_prompt'])
clean.pop('generator', None)
clean['parser'] = parser
for k, v in clean.items():
for k, v in clean.copy().items():
if isinstance(v, torch.Tensor) or isinstance(v, np.ndarray):
clean[k] = v.shape
if isinstance(v, list) and len(v) > 0 and (isinstance(v[0], torch.Tensor) or isinstance(v[0], np.ndarray)):
clean[k] = [x.shape for x in v]
if not debug_enabled and k.endswith('_embeds'):
del clean[k]
clean['prompt'] = 'embeds'
shared.log.debug(f'Diffuser pipeline: {model.__class__.__name__} task={sd_models.get_diffusers_task(model)} batch={p.iteration + 1}/{p.n_iter}x{p.batch_size} set={clean}')
if p.hdr_clamp or p.hdr_maximize or p.hdr_brightness != 0 or p.hdr_color != 0 or p.hdr_sharpen != 0: