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Thermal Rgb ControlNet v2 No Prompts

These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.

KindControlNetBase modelstable-diffusion-v1-5/stable-diffusion-v1-5VersionBgrade

Model source

Kind
ControlNet
File size
1.35 GB
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5
Version
vdiffusion_pytorch_model
Updated
Oct 6, 2026
Downloads
3
Source
Hugging Face

Source description

controlnet-swetha3456/thermal-rgb-controlnet-v2-no-prompts

These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.

prompt: images_0) prompt: images_1)

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]

Sources

1 source
Hugging FacePrimaryVersion 3ab58e93c4eaff65f5f7f1943f8838cf473525c2
huggingface.co/swetha3456/thermal-rgb-controlnet-v2-no-prompts/tree/3ab58e93c4eaff65f5f7f1943f8838cf473525c2

Verified Oct 6

Model artifacts

1 artifact

checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1.35 GB · SHA-256 bd77a71a4be9…5526 · Hugging Face

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Source excerpts

3 excerpts

--- base_model: stable-diffusion-v1-5/stable-diffusion-v1-5 library_name: diffusers license: creativeml-openrail-m inference: true tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - diffusers-training --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # controlnet-swetha3456/thermal-rgb-controlnet-v2-no-prompts These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below. prompt: ![images_0)](./images_0.png) prompt: ![images_1)](./images_1.png) ## Intended uses & limitations #### How to use ```python # TODO: add an example code snippet for running this diffusion pipeline ``` #### Limitations and bias [TODO: provide examples of latent issues and potential remediations] ## Training details [TODO: describe the data used to train the model]

Source context: 3 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo swetha3456/thermal-rgb-controlnet-v2-no-prompts

Source context: 4 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo swetha3456/thermal-rgb-controlnet-v2-no-prompts