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F16
/
z-image-turbo-flow-dpo

Feature Extraction
Transformers
text-to-image
flow-matching
diffusion
lora
dpo
flow-dpo
z-image
photorealistic
lighting
Model card Files Files and versions
xet
Community
6

Instructions to use F16/z-image-turbo-flow-dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use F16/z-image-turbo-flow-dpo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="F16/z-image-turbo-flow-dpo")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("F16/z-image-turbo-flow-dpo", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
z-image-turbo-flow-dpo
170 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
F16's picture
F16
Update README.md
d7c7d1b verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    6.09 kB
    Update README.md 4 months ago
  • zit_fdpo_v1.safetensors
    170 MB
    xet
    Upload zit_fdpo_v1.safetensors 6 months ago