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First of all, congratulations for this amazing software. I was able to make most of it work, but there is a problem with a particular custom node. So this is the portion I believe is failing, I am attaching the workflow to this post) and the code generated,
... removed for brevity ...
"class_type": "Eff. Loader SDXL"
},
"2": {
"inputs": {
"input_mode": "simple",
"lora_count": 2,
"lora_name_1": "add-detail-xl.safetensors",
"lora_wt_1": 0.7000000000000001,
"model_str_1": 1,
"clip_str_1": 1,
"lora_name_2": "xl_more_art-full_v1.safetensors",
"lora_wt_2": 0.7000000000000001,
"model_str_2": 1,
"clip_str_2": 1,
"lora_name_3": "None",
"lora_wt_3": 1,
"model_str_3": 1,
"clip_str_3": 1,
"lora_name_4": "None",
"lora_wt_4": 1,
"model_str_4": 1,
"clip_str_4": 1,
"lora_name_5": "None",
"lora_wt_5": 1,
"model_str_5": 1,
... removed for brevity ...
Generates:
lora_stacker = NODE_CLASS_MAPPINGS["LoRA Stacker"]()
lora_stacker_2 = lora_stacker.lora_stacker(input_mode="simple", lora_count=2)
eff_loader_sdxl = NODE_CLASS_MAPPINGS["Eff. Loader SDXL"]()
ksampler_sdxl_eff = NODE_CLASS_MAPPINGS["KSampler SDXL (Eff.)"]()
saveimage = SaveImage()
for q in range(10):
eff_loader_sdxl_1 = eff_loader_sdxl.efficientloaderSDXL(
base_ckpt_name="copaxTimelessxlSDXL1_v5.safetensors",
base_clip_skip=-1,
refiner_ckpt_name="sdXL_v10RefinerVAEFix.safetensors",
refiner_clip_skip=-1,
positive_ascore=6,
negative_ascore=2,
vae_name="Baked VAE",
positive="photorealistic scene of (..removed for brevity..) freckles, realistic, wide angle, wide shot, 4k, film grain, depth, masterpiece",
negative="embedding:negativeXL (worst quality:1.5), (low quality:1.5), (normal quality:1.5), lowres, bad anatomy, bad hands, multiple eyebrow, (cropped), extra limb, missing limbs, deformed hands, long neck, long body, (bad hands), signature, username, artist name, conjoined fingers, deformed fingers, ugly eyes, imperfect eyes, skewed eyes, unnatural face, unnatural body, error, painting by bad-artist, asian, long hands, helmet:1.5, cgi, 3d, illustration, blue skin, unnatural skin, close up shot, out of frame ",
empty_latent_width=1024,
empty_latent_height=1024,
batch_size=1,
lora_stack=get_value_at_index(lora_stacker_2, 0),
)
workflow_api.json.txt
workflow_api.py.txt
Notice that the number of properties on the lora is huge and only the first 2 properties are added.
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