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unified logger

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Vladimir Mandic
2026-02-19 09:46:42 +01:00
parent bfe014f5da
commit a3074baf8b
315 changed files with 2507 additions and 2116 deletions
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scripts/ipinstruct.py
+5 -4
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@@ -8,6 +8,7 @@ import os
import importlib
import gradio as gr
from modules import scripts_manager, processing, shared, sd_models, devices
from modules import logger
repo = 'https://github.com/vladmandic/IP-Instruct'
@@ -57,11 +58,11 @@ class Script(scripts_manager.Script):
def run(self, p: processing.StableDiffusionProcessing, query, image, strength, tokens, instruct_guidance, image_guidance): # pylint: disable=arguments-differ
supported_model_list = ['sd', 'sdxl', 'sd3']
if shared.sd_model_type not in supported_model_list:
shared.log.warning(f'IP-Instruct: class={shared.sd_model.__class__.__name__} model={shared.sd_model_type} required={supported_model_list}')
logger.log.warning(f'IP-Instruct: class={shared.sd_model.__class__.__name__} model={shared.sd_model_type} required={supported_model_list}')
return None
self.install()
if self.lib is None:
shared.log.error('IP-Instruct: failed to import library')
logger.log.error('IP-Instruct: failed to import library')
return None
self.orig_pipe = shared.sd_model
if shared.sd_model_type == 'sdxl':
@@ -83,8 +84,8 @@ class Script(scripts_manager.Script):
ip_ckpt = hf.hf_hub_download(repo_id=repo_id, filename=ckpt, cache_dir=shared.opts.hfcache_dir)
ip_model = cls(shared.sd_model, encoder, ip_ckpt, device=devices.device, dtypein=devices.dtype, num_tokens=tokens)
processing.fix_seed(p)
shared.log.debug(f'IP-Instruct: class={shared.sd_model.__class__.__name__} wrapper={ip_model.__class__.__name__} encoder={encoder} adapter={ckpt}')
shared.log.info(f'IP-Instruct: image={image} query="{query}" strength={strength} tokens={tokens} instruct_guidance={instruct_guidance} image_guidance={image_guidance}')
logger.log.debug(f'IP-Instruct: class={shared.sd_model.__class__.__name__} wrapper={ip_model.__class__.__name__} encoder={encoder} adapter={ckpt}')
logger.log.info(f'IP-Instruct: image={image} query="{query}" strength={strength} tokens={tokens} instruct_guidance={instruct_guidance} image_guidance={image_guidance}')
image_list = ip_model.generate(
query = query,