WorkflowVérifiéExterne

Broken Anima — v1.0

Basically, it generates in low resolution first and then finishes at the original resolution. It uses just the basic latent upscale, so it's a bit unstable—but hey, it's just for my own use anyway.

Sourcecivitai.com/models/2664123

TâcheMise à l'échelleFamilleAnimaVersionRelease 2991565 — ANIMA.jsonEstimé VRAMEstimation indisponibleBClasse

Profil d'exécution

Accès: Flux de travail externe
Statut: Vérifié
Version: ANIMA.json
Source: Civitai
Mis à jour: 1 oct. 2026

Extrait de la source

No release description captured.

Exigences

Modèles

anima-turbo-lora-v0.2.safetensors
Fichier indiqué
LoRA · 142 MB · Civitai · 2560840
anima-turbo-v1.0-gpt.safetensors
Non résolu
Checkpoint · Unknown
gpt-image-2_anima-base1_v1.safetensors
Non résolu
LoRA · Unknown
qwen_3_06b_base.safetensors
Non résolu
Text encoder · Unknown
qwen_image_vae.safetensors
Trouvé
VAE · 242 MB · SAFETENSORS · BF16 (tensor header) · Civitai · 2641326

Commentaire généré par l’IA

Explication générée par l’IA à partir des détails de la source et de la configuration. Les suggestions sont clairement signalées.

Objectif

Broken Anima is a workflow for generating images from text conditioning and an empty latent image; it starts at low resolution, applies basic latent upscaling, finishes at the original resolution, and produces a decoded image plus a preview.

Flux

Named processing components include KSamplerSelect, SamplerCustom, SplitSigmas, LatentUpscaleBy, VAEDecode, and PreviewImage.

Entrées et sorties

The named inputs are text conditioning and an empty latent image; the named image outputs are a decoded image and a preview.

Installation

This is version v1.0, published by M8rr, and based on Anima.
No license is listed.

Dépendances

The workflow lists these model files: anima-turbo-lora-v0.2.safetensors; anima-turbo-v1.0-gpt.safetensors; gpt-image-2_anima-base1_v1.safetensors; qwen_3_06b_base.safetensors; and qwen_image_vae.safetensors.
Named nodes include CLIPLoader, CLIPNegPip, CLIPTextEncode, ConditioningZeroOut, EmptyLatentImage, KSamplerSelect, LatentUpscaleBy, and LoraLoaderModelOnly.
Other named nodes are LTXVScheduler, PreviewImage, PrimitiveStringMultiline, SamplerCustom, SplitSigmas, StringConcatenate, UNETLoader, VAEDecode, and VAELoader.

Configuration

To inspect sampling and upscaling controls, start with KSamplerSelect, SamplerCustom, SplitSigmas, and LatentUpscaleBy.
Suggestion · non vérifié

Précautions

The source describes the basic latent upscaling as “a bit unstable”; review the output with your own inputs.
Suggestion · non vérifié
Before using the workflow, verify that its listed model files and nodes are available in your setup.
Suggestion · non vérifié

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Sources

1 source

CivitaiSourceVersion 2991565

civitai.com/models/2664123

Vérifié 1 oct.

Artefacts du modèle

1 artefact

brokenAnima_v10.zip

zip · 7,14 KB · SHA-256 a6858e15ff74…cb90 · Civitai

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