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ControlNet Model2

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: High-quality close-up dslr photo of man wearing a hat with...

KindControlNetBase modelstabilityai/stable-diffusion-2-1-baseVersionBgrade

Model source

Kind
ControlNet
File size
1.36 GB
Base model
stabilityai/stable-diffusion-2-1-base
Version
vdiffusion_pytorch_model
Updated
Oct 7, 2026
Downloads
0
Source
Hugging Face

Source description

controlnet-Jenniferkmc/controlnet-model2

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: High-quality close-up dslr photo of man wearing a hat with trees in the background images_0) prompt: Girl smiling, professional dslr photograph, dark background, studio lights, high quality images_1) prompt: Portrait of a clown face, oil on canvas, bittersweet expression images_2)

Sources

1 source
Hugging FacePrimaryVersion dae6457b66b37ac9838d4f4e4948b26fb848720d
huggingface.co/Jenniferkmc/controlnet-model2/tree/dae6457b66b37ac9838d4f4e4948b26fb848720d

Verified Oct 7

Model artifacts

1 artifact

checkpoint-10000/controlnet/diffusion_pytorch_model.bin

bin · 1.36 GB · SHA-256 b0a44852222d…a7d7 · Hugging Face

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Source excerpts

3 excerpts

--- 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-Jenniferkmc/controlnet-model2 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: High-quality close-up dslr photo of man wearing a hat with trees in the background ![images_0)](./images_0.png) prompt: Girl smiling, professional dslr photograph, dark background, studio lights, high quality ![images_1)](./images_1.png) prompt: Portrait of a clown face, oil on canvas, bittersweet expression ![images_2)](./images_2.png)

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Jenniferkmc/controlnet-model2

Source context: 2 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Jenniferkmc/controlnet-model2