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:
LDMTextToImageGeneratorStableDiffusionGeneratorDDPMGeneratorDDPMGeneratorLDMGeneratorScoreSdeGeneratorFor 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
TBD, temporarily please cite:
@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}}
}