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# docker-diffusers-api ("banana-sd-base")
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Diffusers / Stable Diffusion in docker with a REST API, supporting various models, pipelines & schedulers. Used by [kiri.art](https://kiri.art/), perfect for [banana.dev](https://www.banana.dev/).
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Diffusers / Stable Diffusion in docker with a REST API, supporting various models, pipelines & schedulers. Used by [kiri.art](https://kiri.art/), perfect for [banana.dev](https://www.banana.dev/).
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Copyright (c) Gadi Cohen, 2022. MIT Licensed.
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Copyright (c) Gadi Cohen, 2022. MIT Licensed.
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Please give credit and link back to this repo if you use it in a public project.
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## Features
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* Pipelines: txt2img, img2img and inpainting in a single container
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* Models: stable-diffusion, waifu-diffusion, and easy to add others (e.g. jp-sd)
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* All model inputs supported, including setting nsfw filter per request
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**Permute* base config to multiple forks based on yaml config with vars
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* Optionally send signed event logs / performance data to a REST endpoint
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* Can automatically download a checkpoint file and convert to diffusers.
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* S3 support, dreambooth training.
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- Pipelines: txt2img, img2img and inpainting in a single container
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- Models: stable-diffusion, waifu-diffusion, and easy to add others (e.g. jp-sd)
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- All model inputs supported, including setting nsfw filter per request
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-_Permute_ base config to multiple forks based on yaml config with vars
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- Optionally send signed event logs / performance data to a REST endpoint
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- Can automatically download a checkpoint file and convert to diffusers.
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- S3 support, dreambooth training.
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Note: This image was created for [kiri.art](https://kiri.art/).
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Everything is open source but there may be certain request / response
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assumptions. If anything is unclear, please open an issue.
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assumptions. If anything is unclear, please open an issue.
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