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1# Model documentation & parameters2 3**Diffusion model**: Which model version to use. 4 5**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*.6 7 8 9# Model card -- Image diffusion models10 11**Model Details**: Six diffusion models for image generation:12- `LDMTextToImageGenerator`13- `StableDiffusionGenerator`14- `DDPMGenerator`15- `DDPMGenerator`16- `LDMGenerator`17- `ScoreSdeGenerator`18 19For details, see the [Diffusers docs](https://huggingface.co/docs/diffusers/index)20 21**Developers**: Various developers of above models, wrapped by Diffusers developers into [`diffusers`](https://github.com/huggingface/diffusers)22 23**Distributors**: Diffusers code integrated into GT4SD.24 25**Model date**: 2022.26 27**Model version**: Diffusion models, checkpoints provided and distributed by [`diffusers`](https://github.com/huggingface/diffusers).28 29**Model type**: Various, see [`diffusers`](https://github.com/huggingface/diffusers) docs.30 31**Information about training algorithms, parameters, fairness constraints or other applied approaches, and features**: 32N.A.33 34**Paper or other resource for more information**: 35N.A.36 37**License**: MIT38 39**Where to send questions or comments about the model**: Open an issue on [`diffusers`](https://github.com/huggingface/diffusers) repo.40 41**Intended Use. Use cases that were envisioned during development**: Computer vision researchers experimenting with image generative models.42 43**Primary intended uses/users**: Computer vision researchers 44 45**Out-of-scope use cases**: Production-level inference, producing molecules with harmful properties.46 47**Metrics**: N.A.48 49**Datasets**: N.A.50 51**Ethical Considerations**: Unclear, please consult with original authors in case of questions.52 53**Caveats and Recommendations**: Unclear, please consult with original authors in case of questions.54 55Model 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)56 57## Citation58```bib59@misc{von-platen-etal-2022-diffusers,60  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},61  title = {Diffusers: State-of-the-art diffusion models},62  year = {2022},63  publisher = {GitHub},64  journal = {GitHub repository},65  howpublished = {\url{https://github.com/huggingface/diffusers}}66}67```