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ngoctham
/
ASASR

Image-to-Image
Diffusers
Safetensors
super-resolution
image-super-resolution
flux
lora
dpo
diffusion
Model card Files Files and versions
xet
Community

Instructions to use ngoctham/ASASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ngoctham/ASASR with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ngoctham/ASASR")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
ASASR
1.16 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
ngoctham's picture
ngoctham
anphunl's picture
anphunl
Duplicate from anphunl/ASASR
293c385 about 13 hours ago
  • adv_lora
    Duplicate from anphunl/ASASR about 13 hours ago
  • dpo_lora
    Duplicate from anphunl/ASASR about 13 hours ago
  • sr_lora
    Duplicate from anphunl/ASASR about 13 hours ago
  • .gitattributes
    1.52 kB
    Duplicate from anphunl/ASASR about 13 hours ago
  • README.md
    1.96 kB
    Duplicate from anphunl/ASASR about 13 hours ago