jyoung105 / dmd2

Improved Distribution Matching Distillation for Fast Image Synthesis

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  • 81 runs
  • L40S
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Iterate in playground

Input

string
Shift + Return to add a new line

Input prompt, text of what you want to generate.

string
Shift + Return to add a new line

Input negative prompt, text of what you don't want to generate.

integer
(minimum: 1, maximum: 2048)

Width of the output image.

Default: 1024

integer
(minimum: 1, maximum: 2048)

Height of the output image.

Default: 1024

integer
(minimum: 1, maximum: 4)

Number of output images.

Default: 1

integer
(minimum: 1, maximum: 50)

Number of denoising steps.

Default: 4

number
(minimum: 0, maximum: 1)

Stochastic parameter to control the randomness.

Default: 0

number
(minimum: 0, maximum: 20)

Scale for classifier-free guidance.

Default: 0

integer

Random seed. Leave blank to randomize the seed.

integer

Number of the layers to skip in CLIP.

Default: 0

Output

output
Generated in

This output was created using a different version of the model, jyoung105/dmd2:d718f19c.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

Improved Distribution Matching Distillation for Fast Image Synthesis

Improved Distribution Matching Distillation for Fast Image Synthesis,
Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman

BibTeX

@article{yin2024improved,
    title={Improved Distribution Matching Distillation for Fast Image Synthesis},
    author={Yin, Tianwei and Gharbi, Micha{\"e}l and Park, Taesung and Zhang, Richard and Shechtman, Eli and Durand, Fredo and Freeman, William T},
    journal={arXiv:2405.14867},
    year={2024}
}
@inproceedings{yin2024onestep,
    title={One-step Diffusion with Distribution Matching Distillation},
    author={Yin, Tianwei and Gharbi, Micha{\"e}l and Zhang, Richard and Shechtman, Eli and Durand, Fr{\'e}do and Freeman, William T and Park, Taesung},
    booktitle={CVPR},
    year={2024}
}