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Holosomnia Zimage Turbo LoRA

TypeOtherModèle de baseZ-Image TurboÉditeur@lxeCClasse

Source du modèle

Type
Other
Taille du fichier
162 MB
Modèle de base
Z-Image Turbo
Mis à jour
27 sept. 2026
Éditeur
@lxe
Tâches
Légendes, Texte en image

Extrait de la source

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1 artefact

holosomnia_zimage_turbo_v10_step0800.safetensors

safetensors · 162 MB · SHA-256 08b6aa34bf46…57a3

Extraits de sources

3 extraits

--- library_name: safetensors pipeline_tag: text-to-image base_model: Tongyi-MAI/Z-Image-Turbo license: other tags: - z-image - zimage - z-image-turbo - lora - style-lora - comfyui - ai-toolkit - safetensors - holosomnia --- # Holosomnia Z-Image Turbo LoRA ![Holosomnia Z-Image Turbo LoRA example](images/holo_base_2026-05-02_00100_.webp) Style LoRA trained for `Tongyi-MAI/Z-Image-Turbo` on original Holosomnia artwork. This upload contains the V10 "content moderate" checkpoint at step 800, which was selected because it showed strong style transfer while preserving more subject/detail structure than later, more overcooked checkpoints. ## Strength Sweep Preview The grid below compares the same five prompts/seeds across LoRA strengths `0.1`, `0.2`, `0.6`, `0.9`, and `1.1`. In this sweep, `0.9` was the strongest general-purpose balance; `1.1` pushes the look harder but can simplify or over-saturate structure. ![Holosomnia Z-Image Turbo LoRA strength sweep](images/holosomnia_lora_strength_sweep_contact_sheet.png) ## Files - `holosomnia_zimage_turbo_v10_step0800.safetensors` - LoRA checkpoint - `training_config_v10_content_moderate.yaml` - training configuration used for this run - `holosomnia_zimage_turbo_v10_step0800.sha256` - SHA256 checksum - `training_metadata.json` - compact metadata summary - `images/holosomnia_lora_strength_sweep_contact_sheet.png` - LoRA strength comparison sheet ## Usage Use with Z-Image Turbo as a LoRA. Recommended starting points: - LoRA strength: `0.6` to `1.0` - Lower strength preserves the base prompt/content more. - Higher strength pushes the Holosomnia cloud/color/rendering style harder. - Trigger keyword: `zhlxart` Example prompts: ```text zhlxart, a lighthouse on a cliff above the ocean at sunset with dramatic clouds ``` ```text zhlxart, a small white cottage on a rolling green hill beneath towering colorful clouds ``` ```text zhlxart, an ultra detailed portrait of a woman with silver hair wearing embroidered clothing, soft skin texture, intricate jewelry, shallow depth of field ``` The trigger can be omitted for subtler use, but `zhlxart` gives the most direct activation. ## Training Summary | Setting | Value | | --- | --- | | Base model | `Tongyi-MAI/Z-Image-Turbo` | | Training adapter | `ostris/zimage_turbo_training_adapter/zimage_turbo_training_adapter_v2.safetensors` | | Training tool | `ai-toolkit 0.9....

Source context: 0 downloads · 2 likes · Pipeline text-to-image · Library safetensors · Repo lxe/holosomnia-zimage-turbo-lora

Source context: 0 downloads · 1 likes · Pipeline text-to-image · Library safetensors · Repo lxe/holosomnia-zimage-turbo-lora