ComfyUI Node: Additional Features With Attention
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.
Category
loaders
Inputs
model MODEL
clip CLIP
seed INT
sampler_name
- euler
- euler_ancestral
- heun
- heunpp2
- dpm_2
- dpm_2_ancestral
- lms
- dpm_fast
- dpm_adaptive
- dpmpp_2s_ancestral
- dpmpp_sde
- dpmpp_sde_gpu
- dpmpp_2m
- dpmpp_2m_sde
- dpmpp_2m_sde_gpu
- dpmpp_3m_sde
- dpmpp_3m_sde_gpu
- ddpm
- lcm
- ddim
- uni_pc
- uni_pc_bh2
scheduler
- normal
- karras
- exponential
- sgm_uniform
- simple
- ddim_uniform
feature_image LATENT
feature_unet_name
enable_feature_guidance BOOLEAN
feature_guidance_scale FLOAT
Outputs
MODEL
INT
eulereuler_ancestralheunheunpp2dpm_2dpm_2_ancestrallmsdpm_fastdpm_adaptivedpmpp_2s_ancestraldpmpp_sdedpmpp_sde_gpudpmpp_2mdpmpp_2m_sdedpmpp_2m_sde_gpudpmpp_3m_sdedpmpp_3m_sde_gpuddpmlcmddimuni_pcuni_pc_bh2
normalkarrasexponentialsgm_uniformsimpleddim_uniform
Extension: comfyui-magic-clothing
ShineChen1024/MagicClothing comfyui support .
Authored by longgui0318
Looking for a different node?
More nodes in comfyui-magic-clothing
- Add Magic Clothing Attention
- Change Pipeline Dtype And Device
- Change Pixel Value Normalization
- Diffusers Model Makeup &MC
- Diffusers Scheduler Loader &MC
- InjectTensorHashLog
- Load Magic Clothing Adapter &Diffusers
- Load Magic Clothing Model
- Load Magic Clothing Pipeline&Diffusers
- Load Magic Clothing Pipeline With Path&Diffusers
- LOAD OMS
- RUN Magic Clothing Diffusers Model
Other loaders nodes
- Anima EasyControl (KSampler)
- Apply Anima ControlNet-LLLite
- Apply Trained LoRA
- Requires Asset
- Load Attention couple
- Auto Model Finder (Experimental)
- Apply CDTuner
- Checkpoint File Loader (Soze)
- Checkpoint Loader Iterator
- Load Checkpoint Mix With Diffusers
- Load FP4 or NF4 Quantized Checkpoint Model
- CheckpointLoaderRandom
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.