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+ ---
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+ license: openrail
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+ base_model:
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+ - stable-diffusion-v1-5/stable-diffusion-v1-5
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+ - lllyasviel/control_v11f1p_sd15_depth
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+ tags:
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+ - art
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+ - controlnet
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+ - stable-diffusion
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+ - image-to-image
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+ datasets:
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+ - ChlaegerIO/SeasonScapes
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+ ---
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+
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+ # Controlnet - Roundshot webcams Googe Earth depth v1.0
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+
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+ This checkpoint is a finetuned version based on the [the lllyasviel depth checkpoint](https://huggingface.co/lllyasviel/control_v11f1p_sd15_depth). It can be used in combination with **Stable Diffusion**, such as [stable-diffusion-v1-5/stable-diffusion-v1-5](https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5).
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+ The finetuning was done using an adapted version of [diffusers](https://github.com/huggingface/diffusers). For more details have a look at the [🧨 Diffusers docs](https://huggingface.co/docs/diffusers/api/pipelines/controlnet#diffusers.StableDiffusionControlNetPipeline).
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+ This checkpoint corresponds to the ControlNet conditioned on **Google Earth rendered depth images**.
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+
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+ ## Model Details
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+ - **Finetuned by:** Timo Kleger, Qi Ma
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+ - **Model type:** Diffusion-based text-to-image generation model
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+ - **Language(s):** English
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+ - **License:** [The CreativeML OpenRAIL M license](https://huggingface.co/spaces/CompVis/stable-diffusion-license) is an [Open RAIL M license](https://www.licenses.ai/blog/2022/8/18/naming-convention-of-responsible-ai-licenses), adapted from the work that [BigScience](https://bigscience.huggingface.co/) and [the RAIL Initiative](https://www.licenses.ai/) are jointly carrying in the area of responsible AI licensing. See also [the article about the BLOOM Open RAIL license](https://bigscience.huggingface.co/blog/the-bigscience-rail-license) on which our license is based.
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+ - **Resources for more information:** [GitHub Repository](https://github.com/ChlaegerIO/SeasonScapes)
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+ <!-- , [Paper](https://arxiv.org/abs/2302.05543). -->
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+ <!-- - **Cite as:**
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+
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+ @misc{zhang2023adding,
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+ title={Adding Conditional Control to Text-to-Image Diffusion Models},
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+ author={Lvmin Zhang and Maneesh Agrawala},
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+ year={2023},
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+ eprint={2302.05543},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV}
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+ } -->
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+
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+ ## More information
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+
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+ For more information, please also have a look at the [Diffusers ControlNet Blog Post](https://huggingface.co/blog/controlnet) and have a look at the [official docs](https://github.com/lllyasviel/ControlNet-v1-1-nightly).