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# 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: |
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- `LDMTextToImageGenerator` |
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- `StableDiffusionGenerator` |
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- `DDPMGenerator` |
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- `DDPMGenerator` |
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- `LDMGenerator` |
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- `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**: |
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N.A. |
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**Paper or other resource for more information**: |
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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 |
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TBD, temporarily please cite: |
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```bib |
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@misc{von-platen-etal-2022-diffusers, |
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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}, |
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title = {Diffusers: State-of-the-art diffusion models}, |
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year = {2022}, |
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publisher = {GitHub}, |
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journal = {GitHub repository}, |
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howpublished = {\url{https://github.com/huggingface/diffusers}} |
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} |
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``` |