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W-Zil/Krea2_Turbo_LowVram_AllFiles_WorkFlows
Krea2_Turbo_LowVram_AllFiles_WorkFlows is a machine learning model from W-Zil. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Personal collection of models and supporting files to run Krea2 Turbo (Int8) on ComfyUI on GPUs with limited VRAM (tested on 15GB).
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.safetensors19.5 GB · 89%
From the Hugging Face model README
Personal collection of models and supporting files to run Krea2 Turbo (Int8) on ComfyUI on GPUs with limited VRAM (tested on 15GB).
| File | Type | ComfyUI folder |
|---|---|---|
krea2_turbo_int8_convrot.safetensors | Main diffusion model (Int8) | models/diffusion_models |
qwen3vl-4b-q4_k_m.gguf | Text encoder (Qwen3-VL, GGUF format) | models/text_encoders |
qwen3vl_4b_fp8_scaled.safetensors | Text encoder (Qwen3-VL, fp8 format) | models/text_encoders |
qwen_image_vae.safetensors | VAE | models/vae |
krea2_darkbrush.safetensors | LoRA | models/loras |
Note: the two text encoders (
ggufandfp8) are alternatives — you typically only need to download one of them, depending on the loader node used (GGUF loader vs standard loader).
| Workflow | Description |
|---|---|
| image_krea2_turbo_t2i WORK_Tested.json | Standard text-to-image generation with Krea2 Turbo. |
| image_krea2_turbo_t2i_int8.json | Text-to-image generation using the Int8-quantized model — lower VRAM usage |
| image_krea2_turbo_int8_image_style_reference.json | Int8 pipeline with style reference conditioning — upload one or more reference images to guide the aesthetic/style of the output. |
To use: download the JSON file and drag it directly onto the ComfyUI canvas, or load it via Workflow → Open.
from huggingface_hub import hf_hub_download
hf_hub_download(
repo_id="W-Zil/Krea2_Turbo_LowVram_AllFiles_WorkFlows",
filename="FILE_NAME",
local_dir="/path/to/destination",
token="YOUR_TOKEN",
)
✅ Tested and working — ComfyUI + custom nodes + models