fermatresearch / sdxl-lcm-lora-controlnet

An extremely fast all-in-one model to use LCM with SDXL, ControlNet and custom LoRA url's!

  • Public
  • 14.8K runs
  • GitHub
Iterate in playground
  • Prediction

    fermatresearch/sdxl-lcm-lora-controlnet:d9db096aec79855d1f42d2bd4fc89f2b1ddf7dcd00118a0e21b8f1d5c03be099
    ID
    szk7rylbfq6aosmfuvkfczlogm
    Status
    Succeeded
    Source
    Web
    Hardware
    A100 (80GB)
    Total duration
    Created

    Input

    width
    1024
    height
    1024
    prompt
    shot in the style of sksfer, a boy playing with some toys
    scheduler
    LCM
    lora_scale
    0.9
    num_outputs
    1
    lora_weights
    https://pbxt.replicate.delivery/QmdRkthSZmqTEBMgVi17OqpdKkafyLTS6TGmzTF5Qbo9d13IA/trained_model.tar
    batched_prompt
    guidance_scale
    2
    apply_watermark
    condition_scale
    0.45
    negative_prompt
     
    prompt_strength
    0.8
    controlnet_image
    controlnet_image
    num_inference_steps
    6

    Output

    output
    Generated in
  • Prediction

    fermatresearch/sdxl-lcm-lora-controlnet:d9db096aec79855d1f42d2bd4fc89f2b1ddf7dcd00118a0e21b8f1d5c03be099
    ID
    oyv45a3boeblmulzcxh7iujdga
    Status
    Succeeded
    Source
    Web
    Hardware
    A100 (80GB)
    Total duration
    Created

    Input

    width
    1024
    height
    1024
    prompt
    shot in the style of sksfer, a boy in the beach playing with some toys shot in the style of sksfer, a boy in space playing with some toys
    scheduler
    LCM
    lora_scale
    0.94
    num_outputs
    1
    lora_weights
    https://pbxt.replicate.delivery/QmdRkthSZmqTEBMgVi17OqpdKkafyLTS6TGmzTF5Qbo9d13IA/trained_model.tar
    batched_prompt
    guidance_scale
    2
    apply_watermark
    condition_scale
    0.45
    prompt_strength
    0.8
    controlnet_image
    controlnet_image
    num_inference_steps
    6

    Output

    outputoutput
    Generated in
  • Prediction

    fermatresearch/sdxl-lcm-lora-controlnet:d9db096aec79855d1f42d2bd4fc89f2b1ddf7dcd00118a0e21b8f1d5c03be099
    ID
    qzjv5ldb37obheulhdn7j2rq3a
    Status
    Succeeded
    Source
    Web
    Hardware
    A100 (80GB)
    Total duration
    Created

    Input

    width
    1024
    height
    1024
    prompt
    close-up photography of a panda standing in the rain at night in a yellow jacket, under a clear umbrella, urban setting, in a street lit by lamps, facing camera, leica 35mm summilux
    scheduler
    LCM
    lora_scale
    0.9
    num_outputs
    1
    batched_prompt
    guidance_scale
    1
    apply_watermark
    condition_scale
    0.45
    prompt_strength
    0.8
    num_inference_steps
    5

    Output

    output
    Generated in
  • Prediction

    fermatresearch/sdxl-lcm-lora-controlnet:d9db096aec79855d1f42d2bd4fc89f2b1ddf7dcd00118a0e21b8f1d5c03be099
    ID
    cnp463tbdv7stxo4j6fyuocan4
    Status
    Succeeded
    Source
    Web
    Hardware
    A100 (80GB)
    Total duration
    Created

    Input

    width
    1024
    height
    1024
    prompt
    shot in the style of sksfer, a turtle shot in the style of sksfer, a shark
    scheduler
    LCM
    lora_scale
    0.8
    num_outputs
    1
    lora_weights
    https://pbxt.replicate.delivery/3wwmvGfvB4weYkJMAR2JJNMXu7RPtd8Hc5ONP3IP23fioXfGB/trained_model.tar
    batched_prompt
    guidance_scale
    2
    apply_watermark
    condition_scale
    0.45
    negative_prompt
     
    prompt_strength
    0.8
    num_inference_steps
    6

    Output

    outputoutput
    Generated in

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