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Soy Bact Pustule Depth ControlNet v1

These are controlnet weights trained on ButterChicken98/declogsbactv4balanced with new type of conditioning. You can find some example images below.

ArtControlNetBasismodellButterChicken98/dec_logs_bact_v4_balancedVersionBBewertung

Modellquelle

Art
ControlNet
Dateigröße
1,35 GB
Basismodell
ButterChicken98/dec_logs_bact_v4_balanced
Version
vdiffusion_pytorch_model
Aktualisiert
6. Okt. 2026
Downloads
16
Quelle
Hugging Face

Quellenbeschreibung

controlnet-ButterChicken98/soy_bact_pustule_depth_controlnet_v1

These are controlnet weights trained on ButterChicken98/dec_logs_bact_v4_balanced with new type of conditioning. You can find some example images below.

prompt: A soybean leaf in early infection of Bacterial Pustule, with tiny raised yellow spots near the edges. images_0)

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]

Quellen

1 Quelle
Hugging FacePrimärVersion ec3a1d7f97d3fc8fc80133943e5b50a451f151c6
huggingface.co/ButterChicken98/soy_bact_pustule_depth_controlnet_v1/tree/ec3a1d7f97d3fc8fc80133943e5b50a451f151c6

Verifiziert 6. Okt.

Modellartefakte

1 Artefakt

checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 73ad101054e9…1e83 · Hugging Face

Download file

Quellenauszüge

3 Auszüge

--- base_model: ButterChicken98/dec_logs_bact_v4_balanced 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-ButterChicken98/soy_bact_pustule_depth_controlnet_v1 These are controlnet weights trained on ButterChicken98/dec_logs_bact_v4_balanced with new type of conditioning. You can find some example images below. prompt: A soybean leaf in early infection of Bacterial Pustule, with tiny raised yellow spots near the edges. ![images_0)](./images_0.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: 16 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo ButterChicken98/soy_bact_pustule_depth_controlnet_v1

Source context: 4 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo ButterChicken98/soy_bact_pustule_depth_controlnet_v1