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Tencent-Hunyuan-Multimodal-RL
/
SD3.5-GenEval2-Multi-Reward

Text-to-Image
PEFT
Safetensors
Diffusers
lora
flow-matching
reinforcement-learning
flow-dppo
geneval2
Model card Files Files and versions
xet
Community

Instructions to use Tencent-Hunyuan-Multimodal-RL/SD3.5-GenEval2-Multi-Reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Tencent-Hunyuan-Multimodal-RL/SD3.5-GenEval2-Multi-Reward with PEFT:

    Task type is invalid.
  • Diffusers

    How to use Tencent-Hunyuan-Multimodal-RL/SD3.5-GenEval2-Multi-Reward with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Tencent-Hunyuan-Multimodal-RL/SD3.5-GenEval2-Multi-Reward")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
SD3.5-GenEval2-Multi-Reward
37.6 MB
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  • 1 contributor
History: 5 commits
Jayce-Ping's picture
Jayce-Ping
Upload adapter_config.json with huggingface_hub
713ec10 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    3.29 kB
    Upload README.md with huggingface_hub about 1 month ago
  • adapter_config.json
    1.3 kB
    Upload adapter_config.json with huggingface_hub about 1 month ago
  • adapter_model.safetensors
    37.6 MB
    xet
    Upload folder using huggingface_hub about 1 month ago