Run LoRA on RunComfy - billed per request. The inference uses the same base model and the full AI Toolkit pipeline definition from your training run, so what you saw during training is what you get in inference.
Choose a base model, and start running your lora
MiniMax-H3
LoRAを実行
Krea 2 Edit
LoRAを実行
Krea 2 Edit Turbo
LoRAを実行
Krea 2 Turbo
LoRAを実行
Krea 2
LoRAを実行
LTX-2.3
LoRAを実行
Z-Image Base
LoRAを実行
FLUX.2 Klein 9B
LoRAを実行
LTX-2
LoRAを実行
Qwen Image 2512
LoRAを実行
Z-Image de-Turbo
LoRAを実行
Z-Image Turbo
LoRAを実行
FLUX.2
LoRAを実行
Wan 2.2 14B I2V
LoRAを実行
Wan 2.2 14B T2V
LoRAを実行
Qwen Image
LoRAを実行
SDXL
LoRAを実行
FLEX 1
LoRAを実行
FLUX.1
LoRAを実行
MiniMax-H3-Image
LoRAを実行
PrunaAI P-H3-Image
LoRAを実行
Fibo 2.0 Dev
LoRAを実行
FastH3 Omni
LoRAを実行
MOSS-Image SFT [Edit Training]
LoRAを実行
MOSS-Image SFT
LoRAを実行
MOSS-Image Base
LoRAを実行
MOSS-Image Base [Edit Training]
LoRAを実行
FLUX.3 Image Klein (base)
LoRAを実行
Qwen-Image-2.1 Turbo (w/ Training Adapter)
LoRAを実行
Iris-3B (pixel space)
LoRAを実行
FastH3 8-Step V2
LoRAを実行
Ming-Image 0.1 Design (w/ Training Adapter)
LoRAを実行
Qwen-Image-2.1
LoRAを実行
YuE2
LoRAを実行
MiniMax-H3 Ref2V
LoRAを実行
LTX-2.5
LoRAを実行
Mage-Flow
LoRAを実行
Mage-Flow Edit
LoRAを実行
Anima
LoRAを実行
Boogu Image
LoRAを実行
Boogu Image Edit
LoRAを実行
PRXPixel (pixel space)
LoRAを実行
Ideogram4
LoRAを実行
Z-Image L2P (pixel space)
LoRAを実行
HiDream-O1
LoRAを実行
ERNIE-Image
LoRAを実行
Nucleus-Image
LoRAを実行
ACE-Step 1.5
LoRAを実行
ACE-Step 1.5 XL
LoRAを実行
Zeta Chroma
LoRAを実行
FLUX.2-klein-base-4B
LoRAを実行
Qwen-Image-Edit-2511
LoRAを実行
Qwen-Image-Edit-2509
LoRAを実行
Qwen-Image-Edit
LoRAを実行
Wan 2.2 TI2V (5B)
LoRAを実行
HiDream E1
LoRAを実行
Wan 2.1 I2V (14B-480P)
LoRAを実行
Wan 2.1 I2V (14B-720P)
LoRAを実行
FLUX.1-Kontext-dev
LoRAを実行
OmniGen2
LoRAを実行
SD 1.5
LoRAを実行
Flex.2
LoRAを実行
Chroma
LoRAを実行
Wan 2.1 (1.3B)
LoRAを実行
Wan 2.1 (14B)
LoRAを実行
HiDream
LoRAを実行
Lumina2
LoRAを実行