| # 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](https://huggingface.co/docs/diffusers/index) | |
| **Developers**: Various developers of above models, wrapped by Diffusers developers into [`diffusers`](https://github.com/huggingface/diffusers) | |
| **Distributors**: Diffusers code integrated into GT4SD. | |
| **Model date**: 2022. | |
| **Model version**: Diffusion models, checkpoints provided and distributed by [`diffusers`](https://github.com/huggingface/diffusers). | |
| **Model type**: Various, see [`diffusers`](https://github.com/huggingface/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`](https://github.com/huggingface/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)](https://dl.acm.org/doi/abs/10.1145/3287560.3287596?casa_token=XD4eHiE2cRUAAAAA:NL11gMa1hGPOUKTAbtXnbVQBDBbjxwcjGECF_i-WC_3g1aBgU1Hbz_f2b4kI_m1in-w__1ztGeHnwHs) | |
| ## Citation | |
| ```bib | |
| @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}} | |
| } | |
| ``` |