ModelAufgelistetExtern

ControlNet Landsat Scheduler

Quellehuggingface.co/Kornberg/controlnet_landsat_scheduler/tree/861f547f1f1189de1a65915d760edb6b83f250c6

ArtControlNetBasismodellstabilityai/stable-diffusion-2-1-baseVersionBBewertung

Modellquelle

Art: ControlNet
Dateigröße: 1,36 GB
Basismodell: stabilityai/stable-diffusion-2-1-base
Version: vdiffusion_pytorch_model
Aktualisiert: 18. Sept. 2026
Quelle: Hugging Face

Quellenbeschreibung

controlnet-Kornberg/controlnet_landsat_scheduler

Source Repository: https://github.com/JKornberg/controlnet_landsat

Source dataset: https://huggingface.co/datasets/Kornberg/landsat_captions

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below. prompt: A satellite image of the earth. The weather is clear images_0) prompt: A satellite image of the earth. The weather is cloudy and cold images_1) prompt: A satellite image of the earth. The weather is slightly cloudy and very snowy images_2) prompt: A satellite image of the earth. The weather is clear images_3) prompt: A satellite image of the earth. The weather is slightly cloudy and cold images_4) prompt: A satellite image of the earth. The weather is very cloudy and very snowy images_5)

Quellen

1 Quelle

Hugging FacePrimärVersion 861f547f1f1189de1a65915d760edb6b83f250c6

huggingface.co/Kornberg/controlnet_landsat_scheduler/tree/861f547f1f1189de1a65915d760edb6b83f250c6

Verifiziert 6. Sept.

Modellartefakte

1 Artefakt

checkpoint-15000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,36 GB · SHA-256 93fa9a959a78…888b · Hugging Face

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Quellenauszüge

3 Auszüge

Readme31. Julihuggingface.co/Kornberg/controlnet_landsat_scheduler

--- license: creativeml-openrail-m base_model: stabilityai/stable-diffusion-2-1-base tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet inference: true --- # controlnet-Kornberg/controlnet_landsat_scheduler Source Repository: https://github.com/JKornberg/controlnet_landsat Source dataset: https://huggingface.co/datasets/Kornberg/landsat_captions These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below. prompt: A satellite image of the earth. The weather is clear ![images_0)](./images_0.png) prompt: A satellite image of the earth. The weather is cloudy and cold ![images_1)](./images_1.png) prompt: A satellite image of the earth. The weather is slightly cloudy and very snowy ![images_2)](./images_2.png) prompt: A satellite image of the earth. The weather is clear ![images_3)](./images_3.png) prompt: A satellite image of the earth. The weather is slightly cloudy and cold ![images_4)](./images_4.png) prompt: A satellite image of the earth. The weather is very cloudy and very snowy ![images_5)](./images_5.png)

Note6. Sept.huggingface.co/Kornberg/controlnet_landsat_scheduler

Source context: 4 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Kornberg/controlnet_landsat_scheduler

Note31. Julihuggingface.co/Kornberg/controlnet_landsat_scheduler

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Kornberg/controlnet_landsat_scheduler