| # Model documentation & parameters |
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| **Diffusion model**: Which model version to use. |
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| **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*. |
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| # Model card -- Image diffusion models |
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| **Model Details**: Six diffusion models for image generation: |
| - `LDMTextToImageGenerator` |
| - `StableDiffusionGenerator` |
| - `DDPMGenerator` |
| - `DDPMGenerator` |
| - `LDMGenerator` |
| - `ScoreSdeGenerator` |
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| For details, see the [Diffusers docs](https://huggingface.co/docs/diffusers/index) |
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| **Developers**: Various developers of above models, wrapped by Diffusers developers into [`diffusers`](https://github.com/huggingface/diffusers) |
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| **Distributors**: Diffusers code integrated into GT4SD. |
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| **Model date**: 2022. |
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| **Model version**: Diffusion models, checkpoints provided and distributed by [`diffusers`](https://github.com/huggingface/diffusers). |
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| **Model type**: Various, see [`diffusers`](https://github.com/huggingface/diffusers) docs. |
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| **Information about training algorithms, parameters, fairness constraints or other applied approaches, and features**: |
| N.A. |
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| **Paper or other resource for more information**: |
| N.A. |
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| **License**: MIT |
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| **Where to send questions or comments about the model**: Open an issue on [`diffusers`](https://github.com/huggingface/diffusers) repo. |
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| **Intended Use. Use cases that were envisioned during development**: Computer vision researchers experimenting with image generative models. |
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| **Primary intended uses/users**: Computer vision researchers |
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| **Out-of-scope use cases**: Production-level inference, producing molecules with harmful properties. |
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| **Metrics**: N.A. |
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| **Datasets**: N.A. |
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| **Ethical Considerations**: Unclear, please consult with original authors in case of questions. |
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| **Caveats and Recommendations**: Unclear, please consult with original authors in case of questions. |
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| 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) |
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| ## 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}} |
| } |
| ``` |