ComfyUI Node: FL_TD_Sampler

Authored by filliptm

Created

Updated

417 stars

Category

🏵️Fill Nodes/experiments

Inputs

model MODEL
conditioning_positive CONDITIONING
conditioning_negative CONDITIONING
latent_image LATENT
steps INT
seed INT
cfg FLOAT
sampler_name
  • 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_sde
  • dpmpp_sde_gpu
  • dpmpp_2m
  • dpmpp_2m_sde
  • dpmpp_2m_sde_gpu
  • dpmpp_3m_sde
  • dpmpp_3m_sde_gpu
  • ddpm
  • lcm
  • ipndm
  • ipndm_v
  • deis
  • ddim
  • uni_pc
  • uni_pc_bh2
scheduler
  • normal
  • karras
  • exponential
  • sgm_uniform
  • simple
  • ddim_uniform
denoise FLOAT

Outputs

LATENT

Extension: ComfyUI_Fill-Nodes

Fill-Nodes is a versatile collection of custom nodes for ComfyUI that extends functionality across multiple domains. Features include advanced image processing (pixelation, slicing, masking), visual effects generation (glitch, halftone, pixel art), comprehensive file handling (PDF creation/extraction, Google Drive integration), AI model interfaces (GPT, DALL-E, Hugging Face), utility nodes for workflow enhancement, and specialized tools for video processing, captioning, and batch operations. The pack provides both practical workflow solutions and creative tools within a unified node collection.

Authored by filliptm

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