ModelAufgelistetExtern

ControlNet Landsat Old

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below.

Quellehuggingface.co/Kornberg/controlnet_landsat_old/tree/95d37bceb1e522df3035924c3f7ab2720d383871

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: 8. Okt. 2026
Downloads: 2
Quelle: Hugging Face

Quellenbeschreibung

controlnet-Kornberg/model_out

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 95d37bceb1e522df3035924c3f7ab2720d383871

huggingface.co/Kornberg/controlnet_landsat_old/tree/95d37bceb1e522df3035924c3f7ab2720d383871

Verifiziert 8. Okt.

Modellartefakte

1 Artefakt

checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,36 GB · SHA-256 ad5fe4adaa30…3eeb · Hugging Face

Download file

Quellenauszüge

3 Auszüge

Readme31. Julihuggingface.co/Kornberg/controlnet_landsat_old

--- 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/model_out 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)

Note8. Okt.huggingface.co/Kornberg/controlnet_landsat_old

Source context: 2 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Kornberg/controlnet_landsat_old

Note31. Julihuggingface.co/Kornberg/controlnet_landsat_old

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