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Model documentation & parameters

Diffusion model: Which model version to use.

Prompt: The text prompt used, only applies to conditional diffusion image generators. These are LDMTextToImageGenerator and StableDiffusionGenerator. The other four models (DDPMGenerator, DDPMGenerator, LDMGenerator and ScoreSdeGenerator) are unconditional.

Model card -- Image diffusion models

Model Details: Six diffusion models for image generation:

  • LDMTextToImageGenerator
  • StableDiffusionGenerator
  • DDPMGenerator
  • DDPMGenerator
  • LDMGenerator
  • ScoreSdeGenerator

For details, see the Diffusers docs

Developers: Various developers of above models, wrapped by Diffusers developers into diffusers

Distributors: Diffusers code integrated into GT4SD.

Model date: 2022.

Model version: Diffusion models, checkpoints provided and distributed by diffusers.

Model type: Various, see diffusers docs.

Information about training algorithms, parameters, fairness constraints or other applied approaches, and features: N.A.

Paper or other resource for more information: N.A.

License: MIT

Where to send questions or comments about the model: Open an issue on diffusers repo.

Intended Use. Use cases that were envisioned during development: Computer vision researchers experimenting with image generative models.

Primary intended uses/users: Computer vision researchers

Out-of-scope use cases: Production-level inference, producing molecules with harmful properties.

Metrics: N.A.

Datasets: N.A.

Ethical Considerations: Unclear, please consult with original authors in case of questions.

Caveats and Recommendations: Unclear, please consult with original authors in case of questions.

Model card prototype inspired by Mitchell et al. (2019)

Citation

@misc{von-platen-etal-2022-diffusers,
  author = {Patrick von Platen and Suraj Patil and Anton Lozhkov and Pedro Cuenca and Nathan Lambert and Kashif Rasul and Mishig Davaadorj and Thomas Wolf},
  title = {Diffusers: State-of-the-art diffusion models},
  year = {2022},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/huggingface/diffusers}}
}