FXTD®Radiance for ComfyUI
RADIANCE / DOCUMENTATION3.5.0 · Release candidate

Node reference / Radiance for ComfyUI

Video nodes

Text-to-video, image-to-video, temporal generation, and video HDR.

15 nodes. All sections

I2V Pipeline

RadianceI2VPipeline

I2V Pipeline node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

End-to-end image-to-video generation pipeline with motion control.

Inputs

Input Type Default Range or choices What it does
model MODEL Video diffusion model. Image models are rejected; a model with an image-concat input (Wan I2V) enables concat_channels.
clip CLIP Text encoder matching the model, used for both prompts.
vae VAE VAE matching the model. Encodes the reference image, sets the latent shape and decodes preview_frames.
reference_image IMAGE Start frame (display-referred sRGB, one image). Its width and height set the video size, rounded down to the VAE's spatial compression.
positive_prompt string smooth camera motion, cinematic HDR, 4K multi-line text What should happen in the shot. ', nits HDR, ' is appended when peak_nits is above 100.
negative_prompt string watermark, blurry, flickering, sdr multi-line text What to steer away from, encoded with the same text encoder.
frames int 25 1 to 512 Requested frames. The latent holds ceil(frames / temporal compression) frames; use a multiple of the compression plus 1 (e.g. 25, 49, 81) to get exactly this count back.
seed int 0 0 to 2147483648 Seed for the initial noise and the sampler.
dit_config (optional) string {} JSON from RadianceVideoModelInfo. When it carries a model_name, that model's defaults replace steps, cfg, sampler_name and scheduler.
character_conditioning (optional) CONDITIONING Optional conditioning whose tokens are appended to the positive prompt at weight 0.75. Skipped if its embedding width differs.
cfg_schedule_json (optional) string JSON float array. Only the first value is used, as a static CFG override; CFG does not vary per step.
i2v_strategy (optional) choice auto auto, first_frame_lock, concat_channels, clip_vision_inject, prepend_latent auto: concat_channels when the model has an image-concat input (Wan 2.1 I2V, Wan 2.2 I2V 14B), else first_frame_lock. clip_vision_inject needs clip_vision_output connected.
clip_vision_output (optional) CLIP_VISION_OUTPUT From CLIP Vision Encode. Added to both conditionings as clip_vision_output, which Wan 2.1 I2V reads (clip_fea).
image_strength (optional) float 0.85 0 to 1, step 0.01 first_frame_lock and prepend_latent only: blend weight of the image latent into the first latent frame; also lowers denoise to 1 - 0.4 x strength. Ignored by concat_channels and clip_vision_inject.
motion_strength (optional) float 0.5 0 to 1, step 0.01 first_frame_lock and prepend_latent only: scales the starting noise to 0.2 + 0.8 x strength of its unit amplitude. Ignored by concat_channels and clip_vision_inject.
steps (optional) int 0 0 to 200 Sampling steps. 0 uses the model default (the LTX-Video preset's 25 when no dit_config is connected). Ignored when dit_config carries a model_name.
cfg (optional) float 0 0 to 30, step 0.1 Guidance scale. 0 uses the model default (the LTX-Video preset's 3.5 when no dit_config is connected). cfg_schedule_json overrides it.
sampler_name (optional) choice euler ComfyUI's samplers ComfyUI sampler. Ignored when dit_config carries a model_name.
scheduler (optional) choice normal ComfyUI's schedulers ComfyUI sigma scheduler. Ignored when dit_config carries a model_name.
peak_nits (optional) choice 1000 100, 203, 400, 600, 1000, 4000, 10000 Adds the selected peak brightness to the prompt; 100 requests an SDR look. No pixel change.
target_gamut (optional) choice BT.2020 BT.2020, P3-D65, P3-DCI, BT.709, ACEScg Adds the selected gamut descriptor to the prompt at every peak brightness. No pixel conversion.
hdr_eotf (optional) choice PQ (ST.2084) PQ (ST.2084), HLG (BT.2100), Linear, sRGB / BT.1886 Adds the selected transfer-function descriptor to the prompt. No pixel encoding.

Outputs

Output Type
video_latent LATENT
preview_frames IMAGE
pipeline_report STRING

T2V Pipeline

RadianceT2VPipeline

T2V Pipeline node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

End-to-end text-to-video generation pipeline with HDR support.

Inputs

Input Type Default Range or choices What it does
model MODEL Video diffusion model. Image models (2-D latents) are rejected.
clip CLIP Text encoder matching the model, used for both prompts.
vae VAE VAE matching the model. Its compression sets the latent shape and it decodes preview_frames.
positive_prompt string cinematic HDR video, stunning visuals, 4K, film grain multi-line text What to generate. HDR descriptors from peak_nits, target_gamut and hdr_eotf are appended unless hdr_strength is 0.
negative_prompt string watermark, blurry, low quality, sdr, flickering multi-line text What to steer away from, encoded with the same text encoder.
width int 768 64 to 4096, step 8 Output width in pixels, rounded down to a multiple of the VAE's spatial compression.
height int 512 64 to 4096, step 8 Output height in pixels, rounded down to a multiple of the VAE's spatial compression.
frames int 25 1 to 512 Requested frames. The latent holds ceil(frames / temporal compression) frames; use a multiple of the compression plus 1 (e.g. 25, 49, 81) to get exactly this count back.
seed int 0 0 to 2147483648 Seed for the initial noise and the sampler.
dit_config (optional) string {} JSON from RadianceVideoModelInfo. When it carries a model_name, that model's defaults replace steps, cfg, sampler_name and scheduler.
character_conditioning (optional) CONDITIONING Optional conditioning whose tokens are appended to the positive prompt at weight 0.75. Skipped if its embedding width differs.
cfg_schedule_json (optional) string JSON float array from RadianceAudioCFGSchedule. Only the first value is used, as a static CFG override; CFG does not vary per step.
steps (optional) int 0 0 to 200 Sampling steps. 0 uses the model default (the LTX-Video preset's 25 when no dit_config is connected). Ignored when dit_config carries a model_name.
cfg (optional) float 0 0 to 30, step 0.1 Guidance scale. 0 uses the model default (the LTX-Video preset's 3.5 when no dit_config is connected). cfg_schedule_json overrides it.
sampler_name (optional) choice euler ComfyUI's samplers ComfyUI sampler. Ignored when dit_config carries a model_name.
scheduler (optional) choice normal ComfyUI's schedulers ComfyUI sigma scheduler. Ignored when dit_config carries a model_name.
peak_nits (optional) choice 1000 100, 203, 400, 600, 1000, 4000, 10000 Adds ' nits HDR' to the prompt. Prompt text only, no pixel change; 100 requests an SDR look.
target_gamut (optional) choice BT.2020 BT.2020, P3-D65, P3-DCI, BT.709, ACEScg Adds the selected gamut descriptor to the prompt. Prompt text only, no pixel conversion.
hdr_eotf (optional) choice PQ (ST.2084) PQ (ST.2084), HLG (BT.2100), Linear, sRGB / BT.1886 Adds a transfer-function descriptor to the prompt. Prompt text only, no pixel encoding.
hdr_strength (optional) float 0.5 0 to 1, step 0.05 Prompt weight of the appended HDR descriptors (gamut, EOTF, peak nits), as (text:weight) with weight = 2 x strength: 0.5 is neutral, 1.0 doubles their emphasis, 0 leaves them out.

Outputs

Output Type
video_latent LATENT
preview_frames IMAGE
positive_cond CONDITIONING
pipeline_report STRING

Video Assembler

RadianceVideoAssembler

Video Assembler node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Assemble processed video frames back into a temporal sequence.

Inputs

Input Type Default Range or choices What it does
frame IMAGE Frame (or batch) to append to this session's buffer. Buffers live in memory and are lost on restart.
session_key string video_session_0 Name of the accumulation buffer. Use a different key per clip being assembled in parallel.
expected_total_frames int 24 Output is complete, and the buffer cleared, once this many inputs have arrived. Counts executions, not images, if frame is a batch.
flush (optional) boolean off Force output of accumulated frames now, even if incomplete
reset (optional) boolean off Clear accumulated frames for this session key

Outputs

Output Type
video_image IMAGE
frames_accumulated INT
is_complete BOOLEAN

Video Batch Decode

RadianceVideoBatchDecode

Video Batch Decode node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Batch-decode video latents to pixel frames with memory management.

Inputs

Input Type Default Range or choices What it does
vae VAE VAE matching the model that produced the latent.
latent LATENT Video latent from a sampler or pipeline. A 5-D latent is decoded through the VAE's temporal path.
dit_config (optional) string {} JSON from RadianceVideoModelInfo. Its compression values are used only if the VAE does not report its own. Its latent_scale is not applied: a ComfyUI sampler already returns the latent in VAE space.
tile_decode (optional) boolean off Route the decode through the VAE's own tiled entry point (comfy.sd.VAE.decode_tiled) to cut peak VRAM on large videos. Leave off: an untiled decode already falls back to tiling by itself when it runs out of memory.
tile_overlap (optional) int 64 0 to 256 Pixel overlap between spatial tiles (higher = smoother seams). Only read when tile_decode is on.
output_linear (optional) boolean off Convert the VAE's display-referred sRGB frames to scene-linear (inverse sRGB transfer). Off: sRGB clamped to [0, 1], as VAE Decode.

Outputs

Output Type
frames IMAGE
frame_count INT
decode_report STRING

Video Cond Merge

RadianceVideoCondMerge

Video Cond Merge node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Merge multiple video conditioning signals into a unified tensor.

Inputs

Input Type Default Range or choices What it does
text_conditioning CONDITIONING Base conditioning, usually the encoded prompt. The output keeps its entries; the other inputs are merged into them.
merge_mode choice concat concat, weighted, priority concat: append the other inputs' tokens (times their weights) after the text tokens. weighted: weighted average of the token tensors. priority: keep the text tokens, only copy missing dict keys from the others.
character_conditioning (optional) CONDITIONING Optional conditioning (e.g. a character or identity embedding) merged per merge_mode.
hdr_conditioning (optional) CONDITIONING Optional conditioning (e.g. from RadianceVideoHDRConditioner) merged per merge_mode.
text_weight (optional) float 1 0 to 2, step 0.05 Weight of text_conditioning in weighted mode. concat and priority keep the text tokens unscaled.
character_weight (optional) float 0.75 0 to 2, step 0.05 Multiplier on the character tokens in concat and weighted modes. Ignored in priority mode.
hdr_weight (optional) float 0.5 0 to 2, step 0.05 Multiplier on the HDR tokens in concat and weighted modes. Ignored in priority mode.

Outputs

Output Type
merged_conditioning CONDITIONING
merge_report STRING

Video Export

RadianceVideoExport

Video Export node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Pass decoded video frames through, HDR-encode them, or write them as a 32-bit float EXR sequence or a small GIF preview. No movie codecs: use a video writer node.

Inputs

Input Type Default Range or choices What it does
frames IMAGE Decoded frames. EXR writes the values unchanged as 32-bit float; the GIF clamps to [0, 1] display-referred.
mode choice passthrough passthrough, hdr_decode, exr_sequence, preview_gif passthrough: return frames. hdr_decode: run RadianceVideoHDRDecode (Reinhard, PQ out) and return the HDR signal. exr_sequence / preview_gif: also write files. Only the last two write to disk.
hdr_metadata_json (optional) string {"peak_nits":1000,"eotf":"PQ (ST.2084)"} hdr_decode only. Its peak_nits and gamut (BT.2020 if absent) are used; the eotf key is ignored, output is always PQ.
output_folder (optional) string Empty: ComfyUI's output folder.
filename_prefix (optional) string radiance_video File name start: _<6-digit frame>.exr, or _preview.gif (overwritten on each run).
fps (optional) float 24 1 to 120 GIF playback rate (frame duration 1000 / fps ms). preview_gif only.
frame_offset (optional) int 0 Added to the frame number in EXR file names. exr_sequence only.

Outputs

Output Type
frames IMAGE
frame_count INT
export_report STRING

Video Frame Router

RadianceVideoFrameRouter

Video Frame Router node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Route individual video frames to different processing branches.

Inputs

Input Type Default Range or choices What it does
video_image IMAGE Frame batch to pick from. Also returned unchanged on passthrough.
frame_index int 0 0 to 4096 0-based frame to extract. Past the end it wraps or clamps to the last frame, per wrap_index.
wrap_index (optional) boolean on If frame_index >= total_frames, wrap around (modulo). Off: clamp to the last frame.

Outputs

Output Type
frame_image IMAGE
frame_index INT
total_frames INT
passthrough IMAGE

Video HDR Conditioner

RadianceVideoHDRConditioner

Video HDR Conditioner node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Condition a video model on HDR metadata for luminance-aware sampling.

Inputs

Input Type Default Range or choices What it does
positive CONDITIONING Encoded positive prompt. The HDR descriptor embeddings are concatenated onto each entry (needs clip).
peak_nits choice 1000 100, 203, 400, 600, 1000, 4000, 10000 Mastering peak in nits: adds a luminance descriptor to the tokens and is stored as peak_nits in hdr_metadata_json for RadianceVideoHDRDecode.
target_gamut choice BT.2020 BT.2020, P3-D65, P3-DCI, BT.709, ACEScg, ACES2065-1 Adds a gamut descriptor to the tokens and is stored as gamut in hdr_metadata_json (RadianceVideoHDRDecode converts to it).
eotf choice PQ (ST.2084) PQ (ST.2084), HLG (BT.2100), Linear, sRGB / BT.1886 Adds a transfer-function descriptor to the tokens and is stored in hdr_metadata_json. RadianceVideoHDRDecode uses its own output_eotf.
clip (optional) CLIP Text encoder used for positive. Required for the descriptors to reach the model.
camera_move (optional) choice None Handheld documentary, Locked off cinematic, Slow push-in, Drone aerial, Tracking shot, Static time-lapse, None Adds camera-movement words to the descriptor tokens. None adds nothing.
mood (optional) choice None Golden hour, Blue hour / dusk, Night, Overcast flat, High contrast, Neon / cyberpunk, Natural daylight, None Adds lighting-mood words to the descriptor tokens. None adds nothing.
extra_hdr_prompt (optional) string multi-line text Additional HDR descriptors appended to conditioning tokens
inject_metadata_embedding (optional) boolean on Store the HDR metadata in the conditioning for Radiance nodes. No ComfyUI model reads it.
token_strength (optional) float 1 0 to 2, step 0.05 Scale of the concatenated descriptor embeddings (1.0 = as encoded). Needs clip.

Outputs

Output Type
positive CONDITIONING
hdr_metadata_json STRING

Video HDR Decode

RadianceVideoHDRDecode

Video HDR Decode node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Encode decoded sRGB video frames (IMAGE, not latents) to an HDR signal at the metadata's peak nits and gamut, with PQ or HLG output and an SDR preview.

Inputs

Input Type Default Range or choices What it does
image IMAGE Decoded video frames, display-referred sRGB Rec.709 in [0, 1]. Linearised with a pure 2.2 gamma; 1.0 is mapped to peak_nits.
hdr_metadata_json string {"peak_nits":1000,"gamut":"BT.2020","eotf":"PQ (ST.2084)"} JSON from RadianceVideoHDRConditioner or manually entered
tonemap choice Reinhard Reinhard, Linear clip, Pass-through Reinhard: extended Reinhard whose white point is the brightest input (1.0 lifted by a positive exposure_compensation_ev), so that value lands exactly on peak_nits and the highlights above it roll off; at 0 EV or less there is nothing to compress. Linear clip: clamp at 10,000 nits. Pass-through: no curve (clamped at 10,000 nits by the encode).
exposure_compensation_ev (optional) float 0 -6 to 6, step 0.1 EV adjustment before tone-mapping
output_eotf (optional) choice PQ (ST.2084) PQ (ST.2084), HLG (BT.2100), Linear, sRGB / BT.1886 Encoding of hdr_image. PQ: ST 2084 code values (1.0 = 10,000 nits). HLG: BT.2100 OETF. Linear: clamped linear light normalised to 10,000 nits. sRGB / BT.1886: the sRGB curve on light relative to peak_nits (1.0 = peak), an SDR signal.
sdr_preview_nits (optional) float 100 1 to 203 Nits shown as white-ish mid-range in sdr_preview: light is measured in units of this value and rolled off with extended Reinhard so the brightest input reaches display white (1.0). Lower = brighter preview.
gamut_clip (optional) boolean on Clamp to [0, 1] of the encode container after the primaries conversion (negatives from out-of-gamut colours, values above peak)

Outputs

Output Type
hdr_image IMAGE
sdr_preview IMAGE
decode_report STRING

Video Latent Noise

RadianceVideoLatentNoise

Video Latent Noise node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Correctly shaped, seeded i.i.d. Gaussian latent noise for a video model (independent per frame, as every video sampler expects).

Inputs

Input Type Default Range or choices What it does
dit_config string {} JSON from RadianceVideoModelInfo
width int 512 64 to 4096, step 8 Target frame width in pixels. Divided (rounded down) by the spec's spatial compression to size the latent.
height int 512 64 to 4096, step 8 Target frame height in pixels. Divided (rounded down) by the spec's spatial compression to size the latent.
frames int 25 1 to 512 Target pixel frames. The latent gets ceil(frames / temporal compression) frames; use a multiple of the compression plus 1 (e.g. 25, 49) to decode back to exactly this count.
batch_size int 1 1 to 16 Number of independent noise samples in the batch.
seed int 0 0 to 2147483648 Seed for the CPU noise generator; the same seed and shape give identical noise.
noise_scale (optional) float 1 0.01 to 4, step 0.01 Multiply noise standard deviation (1.0 = unit Gaussian)

Outputs

Output Type
noise_latent LATENT
shape_report STRING

Video Loader

RadianceVideoLoader

Video Loader node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Video loader v3.3 — for LTX 2.3, Wan, HunyuanVideo, etc. Supports Baked/standalone VAE, optional Audio VAE, and optional latent upscale model, on top of the universal loader features.

Inputs

Input Type Default Range or choices What it does
preset choice Custom Custom, CogVideoX, Cosmos World, HunyuanVideo, LTX Video, LTX Video (Low VRAM), LTX Video 2.3, LTX Video 2.3 (Low VRAM), LTX Video 2.5, LTX Video 2.5 (Low VRAM), and 8 more Quick-configure for common architectures. Overrides model_type, dtypes, offload_mode, and hints which CLIP slots are needed.
unet_name choice files found in the matching models or input folder Main diffusion model (UNET / DiT / Transformer). For WAN 2.2, select either the high_noise or low_noise file — the companion expert is detected automatically. The 'model' output always carries the high_noise expert and 'model_low_noise' always carries the low_noise expert, regardless of which file is selected.
weight_dtype choice default default, fp8_e4m3fn, fp8_e5m2, fp16, bf16, fp32 UNET weight precision. fp8_e4m3fn saves ~40% VRAM vs fp16.
model_type choice Auto-Detect Auto-Detect, hunyuan_video, wan, ltxv, ltxav, wan_ti2v, cosmos, cogvideox, mochi, minimax, and 2 more 'Auto-Detect' reads the checkpoint's key names to determine architecture. Override manually if detection fails.
vae_name choice Baked VAE (from UNET) Baked VAE (from UNET) VAE for encoding/decoding latents. 'Baked VAE (from UNET)' extracts it from the checkpoint.
audio_vae_name (optional) choice None None, Baked Audio VAE (from UNET) Audio VAE for LTX 2.3. Choose 'Baked' or a standalone safetensors file.
upscale_model_name (optional) choice None None Latent Upscale Model (e.g. for LTX 2.3 or HunyuanVideo).
clip_l (optional) choice None None CLIP-L (text encoder). Used by: SD1.5, SDXL, Flux, SD3.
clip_g (optional) choice None None CLIP-G (text encoder). Used by: SDXL, SD3, SD3.5.
t5xxl (optional) choice None None, Baked (from UNET) T5-XXL (text encoder). Used by: Flux, SD3, SD3.5, Wan, PixArt, LTX (pre-2.3). 'Baked (from UNET)' loads it from the main checkpoint -- AuraFlow ships no standalone text encoder file.
llm_encoder (optional) choice None None LLM encoder. Used by: HunyuanVideo (Llava-Llama3), LTX 2.3 (Gemma 3), Lumina2 (Gemma-2), Z-Image (Qwen3), Flux.2 (Mistral-3/Qwen3).
text_projection (optional) choice None None, Baked (from UNET) Text projection matrix. Used by: LTX 2.3 (with Gemma 3 llm_encoder). 'Baked (from UNET)' loads it from the main LTX 2.3 checkpoint, like the native LTXV Audio Text Encoder Loader.
clip_dtype (optional) choice default default, fp16, bf16, fp8_e4m3fn, fp32 CLIP weight precision. Independent from UNET. For Flux T5XXL: fp8 saves ~4.7 GB vs fp16.
offload_mode (optional) choice none none, cpu_offload, sequential none = GPU only. cpu_offload = CLIP loaded to CPU RAM. sequential = enable ComfyUI sequential CPU offload (8–12 GB GPUs).
lora_stack (optional) LORA_STACK Accept a LORA_STACK from RadianceLoraStack node.
check_vram (optional) choice On On, Off Estimate VRAM before load and warn if tight.
use_cache (optional) choice On On, Off Cache loaded models. Skips disk I/O when re-running with the same files. Cache auto-invalidates if files change.
lora_on_error (optional) choice raise warn, raise 'warn' skips failed LoRA and continues. 'raise' stops execution.
auto_download (optional) boolean on If a selected model is missing and is one Radiance knows, download it on first run from its pinned Hugging Face source, checked against its SHA-256 before it is installed (large: 4 to 60 GB). Gated repositories (FLUX.2-dev, FLUX.2-klein 9B, LTX-2.5) need their licence accepted on Hugging Face and HF_TOKEN set. RADIANCE_ALLOW_DOWNLOADS=0 always stops downloads.

Outputs

Output Type
model MODEL
model_low_noise MODEL
clip CLIP
vae VAE
audio_vae VAE
lora_stack LORA_STACK
upscale_model LATENT_UPSCALE_MODEL
model_meta STRING

Video Mask Propagator

RadianceVideoMaskPropagator

Video Mask Propagator node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Fill empty frames of a mask sequence by warping neighbouring keyframe masks along optical flow. Frames that already contain a mask are kept as keyframes.

Inputs

Input Type Default Range or choices What it does
masks MASK Mask sequence, one per frame. Frames with any mask content are keyframes; empty frames are filled by propagation.
flow_vectors IMAGE 32-bit flow vectors from Radiance Optical Flow.
propagation_mode choice Bidirectional Forward, Backward, Bidirectional Forward carries masks from earlier frames, Backward from later frames. Bidirectional runs both and keeps the union (maximum) on filled frames.

Outputs

Output Type
propagated_masks MASK

Video Model Info

RadianceVideoModelInfo

Video Model Info node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Display configuration and parameter info for a loaded video model.

Inputs

Input Type Default Range or choices What it does
model MODEL Video diffusion model to inspect. It is passed through unchanged on the model output.
model_preset choice LTX-Video (128ch) SD-VAE (4ch), SDXL-VAE (4ch), LTX-Video (128ch), HunyuanVideo (16ch), Wan2.1 (16ch), Wan2.2-T2V-14B (16ch), Wan2.2-I2V-14B (16ch), Wan2.2-TI2V-5B (48ch), HunyuanVideo-1.5 (32ch), CogVideoX (16ch), and 1 more Latent spec used when auto-detection finds nothing. Detection reads the model class name (ltx, hunyuan, wan, cogvideo, mochi) and the latent channel count the model reports. A preset from the detected family that matches the channels is kept; otherwise the matching one is used.
override_channels (optional) int 0 0 to 512 Replace the latent channel count written to dit_config. 0 keeps the preset's value.
override_latent_scale (optional) float 0 0 to 10 Replace the preset's latent_scale in dit_config. Reported for reference; Video Batch Decode does not apply it, since sampler output is already in VAE space. 0 keeps the preset's value.
print_info (optional) boolean off Also write the info report to the ComfyUI console log.

Outputs

Output Type
model MODEL
dit_config STRING
info_report STRING

Video Prompt Builder

RadianceVideoPromptBuilder

Video Prompt Builder node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Build structured video prompts combining text, style, and motion cues.

Inputs

Input Type Default Range or choices What it does
subject string a person walking through a neon-lit cityscape Main subject and action. Placed first in the positive prompt.
peak_nits choice 1000 100, 203, 400, 600, 1000, 4000, 10000 Adds a peak-luminance descriptor (e.g. '1000 nits HDR10 ...') to the prompt. Prompt text only.
target_gamut choice BT.2020 BT.2020, P3-D65, P3-DCI, BT.709, ACEScg, ACES2065-1 Adds a gamut descriptor to the prompt. Prompt text only.
eotf choice PQ (ST.2084) PQ (ST.2084), HLG (BT.2100), Linear, sRGB / BT.1886 Adds a transfer-function descriptor to the prompt. Prompt text only.
camera_move (optional) choice Slow push-in Handheld documentary, Locked off cinematic, Slow push-in, Drone aerial, Tracking shot, Static time-lapse, None Adds camera-movement words after the mood words. None adds nothing.
mood (optional) choice Neon / cyberpunk Golden hour, Blue hour / dusk, Night, Overcast flat, High contrast, Neon / cyberpunk, Natural daylight, None Adds lighting-mood words right after the subject. None adds nothing.
style_suffix (optional) string photorealistic, 8K, film grain, anamorphic lens multi-line text Free text appended at the end of the positive prompt.
suppress_artefacts (optional) boolean on On: negative_prompt is a fixed list of common video artefacts. Off: negative_prompt is empty.
print_prompt (optional) boolean off Also write both prompts to the ComfyUI console log.

Outputs

Output Type
positive_prompt STRING
negative_prompt STRING

Video Sampler

RadianceVideoSampler

Video Sampler node in Radiance 3.5.0, default interface
Captured from Radiance 3.5.0 · Default interface · Select to open the full-resolution screenshot. Controls can change with presets and connections.

Run the diffusion sampler to generate video latents from pre-built noise and conditioning.

Inputs

Input Type Default Range or choices What it does
model MODEL Video diffusion model to sample with.
positive CONDITIONING Positive (prompt) conditioning.
negative CONDITIONING Negative conditioning, used by classifier-free guidance.
latent_noise LATENT Noise latent, e.g. from RadianceVideoLatentNoise. It is used as both the noise and the start latent, so its shape must match the model.
steps int 25 1 to 200 Sampling steps. Ignored when dit_config carries a model_name.
cfg float 7 0 to 30, step 0.1 Classifier-free guidance scale. Replaced by the model default when dit_config carries a model_name, then by the first value of cfg_schedule_json.
sampler_name choice euler ComfyUI's samplers ComfyUI sampler. Ignored when dit_config carries a model_name.
scheduler choice normal ComfyUI's schedulers ComfyUI sigma scheduler. Ignored when dit_config carries a model_name.
seed int 0 0 to 2147483648 Seed for the sampler's own noise (ancestral and SDE samplers). The initial noise comes from latent_noise.
dit_config (optional) string {} JSON from RadianceVideoModelInfo — when connected, overrides steps/cfg/sampler/scheduler with model-specific defaults.
cfg_schedule_json (optional) string JSON float array from RadianceAudioCFGSchedule — first value overrides CFG
denoise (optional) float 1 0 to 1, step 0.01 Fraction of the noise schedule to run (1.0 = full). The start latent is latent_noise itself, so below 1.0 this is not a video-to-video strength.

Outputs

Output Type
samples LATENT
sampler_report STRING