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Mero ControlNet Scaled Thick Box

These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.

ArtControlNetBasismodellrunwayml/stable-diffusion-v1-5VersionBBewertung

Modellquelle

Art
ControlNet
Dateigröße
1,35 GB
Basismodell
runwayml/stable-diffusion-v1-5
Version
vdiffusion_pytorch_model
Aktualisiert
9. Okt. 2026
Downloads
2
Quelle
Hugging Face

Quellenbeschreibung

controlnet-AmrutaMuthal/mero_controlnet_scaled_thick_box

These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.

Quellen

1 Quelle
Hugging FacePrimärVersion aac7ac4b14a83691ac1c74a06b41c364ebbf9f82
huggingface.co/AmrutaMuthal/mero_controlnet_scaled_thick_box/tree/aac7ac4b14a83691ac1c74a06b41c364ebbf9f82

Verifiziert 8. Okt.

Modellartefakte

1 Artefakt

checkpoint-500/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 cc7998b66cff…2af8 · Hugging Face

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Quellenauszüge

3 Auszüge

--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet inference: true --- # controlnet-AmrutaMuthal/mero_controlnet_scaled_thick_box These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.

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

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