ComfyUI Node
Checkpoint Automatic Config
Loads a diffusion model checkpoint, diffusion models are used to denoise latents.
Checkpoint Automatic Config
- MODEL
- CLIP
- VAE
- STEPS
- CFG
- SAMPLER
- SCHEDULER
◄ckpt_name▾►
◄automatic_configtrue►
◄steps_total5►
◄cfg2.0►
◄sampler_name▾►
◄scheduler_name▾►
CategoryCheckpoint Config Loader
Inputs (6)
| Name | Type | Default | Description |
|---|---|---|---|
| ckpt_name | COMBO | The name of the checkpoint (model) to load. | |
| automatic_config | BOOLEAN | true | — |
| steps_total | INT | 51–16384 | — |
| cfg | FLOAT | 2.00–100 | — |
| sampler_name | COMBO | 34 options: euler, euler_cfg_pp, euler_ancestral, euler_ancestral_cfg_pp, heun, heunpp2, +28 | |
| scheduler_name | COMBO | 9 options: normal, karras, exponential, sgm_uniform, simple, ddim_uniform, +3 |
Outputs (7)
| Name | Type | Description |
|---|---|---|
| MODEL | MODEL | The model used for denoising latents. |
| CLIP | CLIP | The CLIP model used for encoding text prompts. |
| VAE | VAE | The VAE model used for encoding and decoding images to and from latent space. |
| STEPS | INT | — |
| CFG | FLOAT | — |
| SAMPLER | euler,euler_cfg_pp,euler_ancestral,euler_ancestral_cfg_pp,heun,heunpp2,dpm_2,dpm_2_ancestral,lms,dpm_fast,dpm_adaptive,dpmpp_2s_ancestral,dpmpp_2s_ancestral_cfg_pp,dpmpp_sde,dpmpp_sde_gpu,dpmpp_2m,dpmpp_2m_cfg_pp,dpmpp_2m_sde,dpmpp_2m_sde_gpu,dpmpp_3m_sde,dpmpp_3m_sde_gpu,ddpm,lcm,ipndm,ipndm_v,deis,res_multistep,res_multistep_cfg_pp,res_multistep_ancestral,res_multistep_ancestral_cfg_pp,gradient_estimation,ddim,uni_pc,uni_pc_bh2 | — |
| SCHEDULER | normal,karras,exponential,sgm_uniform,simple,ddim_uniform,beta,linear_quadratic,kl_optimal | — |