Instructions to use kirusanth08/flux-dev-sty1ref-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
File size: 1,754 Bytes
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"1": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "flux1-dev.safetensors",
"weight_dtype": "fp8_e4m3fn"
}
},
"1b": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"model": [
"1",
0
],
"lora_name": "sty1ref-step00002000.safetensors",
"strength_model": 1.5
}
},
"2": {
"class_type": "DualCLIPLoader",
"inputs": {
"clip_name1": "clip_l.safetensors",
"clip_name2": "t5xxl_fp16.safetensors",
"type": "flux"
}
},
"3": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "ae.safetensors"
}
},
"4": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"2",
0
],
"text": "sty1ref, an old fisherman with a thick white beard and a navy knitted cap, facing the viewer, muted grey green background"
}
},
"5": {
"class_type": "FluxGuidance",
"inputs": {
"conditioning": [
"4",
0
],
"guidance": 3.0
}
},
"11": {
"class_type": "ConditioningZeroOut",
"inputs": {
"conditioning": [
"4",
0
]
}
},
"12": {
"class_type": "EmptySD3LatentImage",
"inputs": {
"width": 896,
"height": 1152,
"batch_size": 1
}
},
"13": {
"class_type": "KSampler",
"inputs": {
"model": [
"1b",
0
],
"positive": [
"5",
0
],
"negative": [
"11",
0
],
"latent_image": [
"12",
0
],
"seed": 42,
"steps": 28,
"cfg": 1.0,
"sampler_name": "euler",
"scheduler": "beta",
"denoise": 1.0
}
},
"14": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"13",
0
],
"vae": [
"3",
0
]
}
},
"15": {
"class_type": "SaveImage",
"inputs": {
"images": [
"14",
0
],
"filename_prefix": "sty1ref"
}
}
} |