Instructions to use KennethFal/vh5tape-vhs-lora-minimax-h3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
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vh5tape β a worn-VHS look for MiniMax H3
A style LoRA that makes H3 footage look like it was recorded off 1980s broadcast television onto a VHS tape that has seen better days β soft smeared detail, chroma bleed, tracking noise, head-switching bands at the frame edge, and (because H3 trains audio jointly) the matching muffled mono sound, tape hiss and warble.
The damage is a prompt-controlled dial with three trained levels, from a gentle analog glow to a tape the VCR can barely hold onto.
Gallery
All clips are raw single takes at 480P / 4:3 β none of this content was in the training data.
Prompting
Prompt the way the model was trained: trigger first, damage tier second, scene third.
vh5tape, badly damaged VHS tape with heavy tracking errors and distortion. A loud
1980s local used car commercial: a salesman in a plaid suit shouts at a car lot
with strings of pennant flags and a spinning price sign, cheesy synthesizer
jingle, echoing announcer voice.
The damage dial
| level | phrase |
|---|---|
| light | lightly worn VHS tape with slight analog noise |
| medium | worn VHS tape recording with visible tape damage |
| heavy | badly damaged VHS tape with heavy tracking errors and distortion |
Tips
- Trigger:
vh5tapeβ put it at the very start of the prompt. - Prompt expansion: the LoRA was trained through H3's caption format, and the
balancedexpansion mode preserves the trigger and damage phrases β safe to keep on. - Scale:
1.0for the full look;0.7β0.9softens the wear if heavy prompts overshoot; up to~1.5pushes toward barely-watchable tape (fun for horror). - Sound comes along for free: describe the audio ("muffled mono audio", "canned laughter", "cheesy jingle") and it renders appropriately tape-worn.
- Dialogue: give characters short explicit quoted lines
(
the host says: "It slices, it dices!") β they come through near-verbatim. - Period set dressing helps: wood paneling, studio lighting, 4:3, era wardrobe.
Recipe (fal)
Works on the H3 and H3-Max LoRA endpoints
(minimax/h3/text-to-video/lora, minimax/h3-max/text-to-video/lora) and their
image-to-video LoRA siblings:
{
"prompt": "vh5tape, worn VHS tape recording with visible tape damage. A 1980s ...",
"loras": [{ "path": "<url to vh5tape.safetensors>", "scale": 1.0 }],
"resolution": "480P",
"aspect_ratio": "4:3",
"duration": 15,
"prompt_expansion_mode": "balanced"
}
480P / 4:3 is the period-correct sweet spot; the style carries fine to higher resolutions if you want clean pixels of a dirty tape.
ComfyUI
vh5tape.safetensors loads in ComfyUI as-is β no conversion needed. It uses the
ComfyUI-native key layout (diffusion_model.blocks.N.attn.{qkv_proj,out_proj},
fused QKV, alpha = rank), so all 104 modules load with no warnings.
Base checkpoint β this is the thing that matters. Use a non-pruned, non-rotated base:
- β
minimax_h3_fl2va_bf16.safetensors(recommended) - β
minimax_h3_fl2va_pruned_fp8_scaled.safetensors - β
*_int8_convrot,nvfp4,w4a8β these store weights in a rotated / quantized basis. The LoRA loads without any error and then produces warped faces, melting limbs and disappearing objects. The default checkpoint in the official ComfyUI H3 tutorial isminimax_h3_fl2va_pruned_int8_convrotβ you must change it. (Not specific to this LoRA β MiniMax-H3 LoRAs in general are made for fp16/fp8 bases.)
Setup
- Put
vh5tape.safetensorsinComfyUI/models/loras/. UNETLoader(bf16 or fp8_scaled fl2va) βLoraLoaderModelOnlyβMiniMaxH3ImageToVideo/ your sampler.- Strength 1.0 (useful range 0.7β1.2).
Stacking with a turbo LoRA: drop this one to 0.4β0.6 β the two
perturbations add, and 4-step turbo has little headroom. (The turbo_mode
checkbox occupies its own LoRA slot; add a second LoraLoaderModelOnly for
this one.) 4-step turbo also softens the tape grain β ~20β25 full-precision
steps show the style best. Stay near 1 MP (very low resolutions are unstable)
and keep prompts to a single shot.
vh5tape-comfyui.safetensors is an optional convenience build: bit-identical
weights plus explicit .alpha tensors (= rank, scale 1.0) and the base-model
requirement in its metadata β same look, just harder to mis-load in
third-party loaders.
Training
Trained with fal's MiniMax H3 t2v trainer (rank 32, 5,000 steps, 4:3, joint video+audio objective) on a small hand-curated set of four-second clips of period broadcast material β sitcoms, soap operas, commercials, news and station sign-offs β each captioned with its content and one of the three damage-tier phrases above. The 5,000-step checkpoint beat its 2k/3k/4k/6k siblings in blind A/B testing; more steps past 5k made the damage tamer, not heavier.
Get the weights
| file | what |
|---|---|
vh5tape.safetensors |
the LoRA, rank 32, 5,000 steps |
vh5tape-comfyui.safetensors |
same weights bit-exact + explicit alpha tensors, for ComfyUI (see the ComfyUI section) |
PROMPTS.md |
the exact prompts + seeds behind every sample above |
Made for H3-TV β a 1970s portable CRT being rebuilt to play an endless, slightly wrong 1980s broadcast day.
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Model tree for KennethFal/vh5tape-vhs-lora-minimax-h3
Base model
MiniMaxAI/MiniMax-H3