Improving output quality

A generation that finishes but looks wrong is almost never a bug; it is the model, the variant, or the prompt. Work through the matching symptom below.

Everything is blurry / noisy / "unfinished"

Most often this is the model variant. GGUF variants are compressed to fit smaller GPUs and trade away quality; heavily quantized ones can look genuinely bad.

Fix: open the preset card and switch to the fp8 (or higher) variant if your VRAM allows it. If you must stay on GGUF, raise the step count in Advanced Controls and prefer higher resolution tiers; 480p upscaled will never look like native 720p.

Faces or bodies are deformed (extra limbs, warped hands, horror stuff)

Fix: put a proper recipe in the negative prompt ("what to avoid") field instead of hoping the model behaves. A good starting set:

deformed, extra limbs, extra fingers, bad anatomy, malformed hands,
fused fingers, mutated, disfigured, blurry, low quality

Keep the positive prompt focused. See Negative prompts for how these are applied per model.

Output looks cartoonish / plastic / "Disney" when you wanted photorealism

Fix:

• Don't stack quality keywords ("hyperrealistic, 8k, ultra detailed, unreal engine..."). On modern models these often push output toward CGI looks rather than realism.
• Add cartoon-blockers to the negative prompt: cartoon, anime, 3d render, cgi, plastic skin, doll.
• Check you're on a photorealistic preset in the first place; each preset's card says what it is tuned for.

The model ignores parts of your prompt

Prompt adherence differs per model family. For video, Wan follows prompt instructions noticeably better than LTX; LTX wins on other axes (speed, audio). If precise staging matters, try the same prompt on a Wan preset.

Fix:

• Simplify. Very long prompts dilute; models latch onto the first, concrete instructions.
• Use positional language for camera and movement ("walks from frame-left to frame-right" rather than "walks to the right").
• For a specific composition: generate a still image first, iterate until the framing is right, then feed it to an image-to-video preset. This is the single most reliable quality workflow.

Faces drift / person morphs during a video

Identity drift over a clip's duration is a known limitation of current i2v models, not a settings problem.

Fix: keep clips short (5s), keep the subject prominent in the start image, and prefer generating several short clips over one long one. For a consistent character across many generations, use the character pipeline: base image -> image-edit preset for poses -> i2v (Characters).

Text in the video is gibberish

Legible text is hit-or-miss for video models. Re-rolling with a new seed sometimes fixes it; Wan renders text more reliably than LTX. Otherwise: add the text in an editor afterward.

Audio is robotic / distorted

LTX's generated audio is a model limitation. For voice that matters, generate the video silent and use an external TTS plus the Lip-Sync preset.

Still bad?

• Check the preset for an update in the Preset Store; several quality issues have been fixed by pack updates.
• Compare against the preset's preview examples: if your output is far below them at similar settings, export logs (Settings -> Troubleshooting -> Export Logs), then post in the Discord issues forum (see Getting help).