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.
Perfil de ejecución
- Acceso
- Flujo externo
- Estado
- Verificado
- Versión
- ANIMA.json
- Fuente
- Civitai
- Actualizado
- 1 oct 2026
Extracto de la fuente
No release description captured.
Requisitos
Modelos
5anima-turbo-lora-v0.2.safetensors
Archivo especificadoLoRA · 142 MB · Civitai · 2560840
anima-turbo-v1.0-gpt.safetensors
No resueltoCheckpoint · Unknown
gpt-image-2_anima-base1_v1.safetensors
No resueltoLoRA · Unknown
qwen_3_06b_base.safetensors
No resueltoText encoder · Unknown
- Encontrado
VAE · 242 MB · SAFETENSORS · BF16 (tensor header) · Civitai · 2641326
Comentario generado por IA
Explicación generada por IA basada en los detalles de la fuente y la configuración. Las sugerencias están claramente identificadas.
Propósito
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.
Flujo
Named processing components include KSamplerSelect, SamplerCustom, SplitSigmas, LatentUpscaleBy, VAEDecode, and PreviewImage.
Entradas y salidas
The named inputs are text conditioning and an empty latent image; the named image outputs are a decoded image and a preview.
Configuración inicial
This is version v1.0, published by M8rr, and based on Anima.
No license is listed.
Dependencias
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.
Configuración
To inspect sampling and upscaling controls, start with KSamplerSelect, SamplerCustom, SplitSigmas, and LatentUpscaleBy.
Sugerencia · sin verificar
Precauciones
The source describes the basic latent upscaling as “a bit unstable”; review the output with your own inputs.
Sugerencia · sin verificar
Before using the workflow, verify that its listed model files and nodes are available in your setup.
Sugerencia · sin verificar
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Fuentes
1 fuente
Fuentes
1 fuenteArtefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractosSource context: 168 downloads · Type Workflows · Base model Anima
Source context: 113 downloads · Type Workflows · Base model Anima
Source context: 112 downloads · Type Workflows · Base model Anima
