Instructions to use ChrisColeTech/SenseNova-turbo-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChrisColeTech/SenseNova-turbo-FP8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ChrisColeTech/SenseNova-turbo-FP8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
SenseNova Turbo FP8 & GGUF (8-step Turbo LoRA baked-in)
SenseNova-Turbo-FP8 is a native unified multimodal checkpoint fine-tuned for more accurate, consistent, reliable, and aesthetically compelling visual creation.
Built on NEO-unify, it strengthens the patchify layers, data quality and distribution, task formulation, prompt enhancement, and post-training pipeline.
Overview
The official release focuses on six user-visible improvements:
- Higher-quality image generation: improved composition and color harmony, with more realistic material rendering, natural lighting, stronger visual fidelity, and finer local details.
- Better text rendering and infographic generation: more legible Chinese and English text, with clearer information hierarchy in posters, infographics, brand assets, and other text-dense designs.
- More efficient native 4K generation: more coherent global structure, color harmony, and stable high-resolution output with improved generation efficiency.
- More reliable native image editing: stronger preservation of subject identity and unedited content across local, text, multi-reference, insertion, and replacement edits.
- Stronger complex-instruction following: more consistent execution of object counts, spatial relationships, layouts, styles, and multiple constraints within a single request.
- More precise visual control: more accurate region- and object-level control through bounding boxes, visual markers, and single- or multi-image references.
steps: 8
CFG: 1
cfg_norm: none
shift: 3
sampler: euler
scheduler: normal
denoise: 1
Showcases
License
This model is released under the Apache 2.0 License.
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Model tree for ChrisColeTech/SenseNova-turbo-FP8
Base model
sensenova/SenseNova-U1.5-8B-MoT