0134...φ(・ω・`c⌒っ (ワッチョイ 3297-Uenw)
2025/03/11(火) 01:49:31.06ID:h1LYS7op0[LORA] Loaded C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\models\Lora\Illustrious\Style\LoRA\The_Lewd_Elf_Search_Records_style.safetensors for KModel-UNet with 722 keys at weight 1.0 (skipped 0 keys) with on_the_fly = False
[LORA] Loaded C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\models\Lora\Illustrious\Style\LoRA\The_Lewd_Elf_Search_Records_style.safetensors for KModel-CLIP with 264 keys at weight 1.0 (skipped 0 keys) with on_the_fly = False
[Unload] Trying to free 1593.72 MB for cuda:0 with 0 models keep loaded ... Current free memory is 8224.15 MB ... Done.
[Memory Management] Target: JointTextEncoder, Free GPU: 8224.15 MB, Model Require: 0.00 MB, Previously Loaded: 1752.98 MB, Inference Require: 1024.00 MB, Remaining: 7200.15 MB, All loaded to GPU.
Moving model(s) has taken 0.01 seconds
[Unload] Trying to free 1024.00 MB for cuda:0 with 1 models keep loaded ... Current free memory is 8223.53 MB ... Done.
Traceback (most recent call last):
File "C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\modules_forge\main_thread.py", line 30, in work self.result = self.func(*self.args, **self.kwargs)
File "C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\modules\txt2img.py", line 131, in txt2img_function
processed = processing.process_images(p)
File "C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\modules\processing.py", line 842, in process_images
res = process_images_inner(p)
File "C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\modules\processing.py", line 962, in process_images_inner
p.setup_conds()
File "C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\modules\processing.py", line 1601, in setup_conds
super().setup_conds()
File "C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\modules\processing.py", line 505, in setup_conds
self.c = self.get_conds_with_caching(prompt_parser.get_multicond_learned_conditioning, prompts, total_steps, [self.cached_c], self.extra_network_data)
File "C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\modules\processing.py", line 474, in get_conds_with_caching
cache[1] = function(shared.sd_model, required_prompts, steps, hires_steps, shared.opts.use_old_scheduling)
File "C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\modules\prompt_parser.py", line 262, in get_multicond_learned_conditioning
learned_conditioning = get_learned_conditioning(model, prompt_flat_list, steps, hires_steps, use_old_scheduling)
File "C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\modules\prompt_parser.py", line 189, in get_learned_conditioning
conds = model.get_learned_conditioning(texts)
File "C:\Applications\StableDiffusion\webui_forge_cu121_torch231\system\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Applications\StableDiffusion\webui_forge_cu121_torch231\webui\backend\diffusion_engine\sdxl.py", line 112, in get_learned_conditioning
crossattn=torch.cat([cond_l, cond_g], dim=2),
RuntimeError: Sizes of tensors must match except in dimension 2. Expected size 154 but got size 231 for tensor number 1 in the list.
Sizes of tensors must match except in dimension 2. Expected size 154 but got size 231 for tensor number 1 in the list.