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ControlNet Inpainting Shuffle Processedpromp Changemask Condition Random Mask

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

Fontehuggingface.co/chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask/tree/3f67dfb998b246881e709d713c2404cb5ec03de0
TipoControlNetModelo baserunwayml/stable-diffusion-v1-5VersãoBnota

Fonte do modelo

Tipo
ControlNet
Tamanho do arquivo
1,35 GB
Modelo base
runwayml/stable-diffusion-v1-5
Versão
vdiffusion_pytorch_model
Atualizado
7 de out. de 2026
Downloads
2
Fonte
Hugging Face

Descrição da fonte

controlnet-chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask

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

prompt: s A1,6 15,bp 3000,4 15,1 20,sp 3000,ge 934,5 15,3 15,ga 156,7 15,2 20,time 200 images_0) prompt: 6 11,s A1,3 11,4 11,ge 900,1 16,7 11,5 11,sp 3000,time 200,2 16,bp 2800,ga 190 images_1) prompt: 5 15,4 15,time 200,bp 3000,s A1,sp 3000,ga 156,7 15,ge 934,1 20,6 15,2 20,3 15 images_2) prompt: bp 3000,ga 190,time 200,3 15,2 20,5 15,7 15,1 20,ge 900,4 15,6 15,sp 3000,s A1 images_3) prompt: 2 20,s A1,3 15,7 15,sp 3000,4 15,1 20,ge 900,5 15,bp 3000,time 200,6 15,ga 190 images_4) prompt: 5 15,4 15,sp 3000,s A1,3 15,7 15,ga 190,2 20,ge 900,6 15,1 20,time 200,bp 3000 images_5) prompt: sp 3000,time 200,5 11,4 11,ge 867.5,7 11,3 11,bp 3000,2 16,s A1,ga 222.5,6 11,1 16 images_6) prompt: sp 3000,time 200,bp 3000,1 20,2 20,7 15,5 15,s A1,ga 156,3 15,ge 934,4 15,6 15 images_7)

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]

Fontes

1 fonte
Hugging FacePrimárioVersão 3f67dfb998b246881e709d713c2404cb5ec03de0
huggingface.co/chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask/tree/3f67dfb998b246881e709d713c2404cb5ec03de0

Verificado 7 de out.

Artefatos de modelo

1 artefato

checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 8dc60232830a…d456 · Hugging Face

Download file

Trechos de fonte

3 trechos
Readme30 de jul.huggingface.co/chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask

--- base_model: runwayml/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-chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below. prompt: s A1,6 15,bp 3000,4 15,1 20,sp 3000,ge 934,5 15,3 15,ga 156,7 15,2 20,time 200 ![images_0)](./images_0.png) prompt: 6 11,s A1,3 11,4 11,ge 900,1 16,7 11,5 11,sp 3000,time 200,2 16,bp 2800,ga 190 ![images_1)](./images_1.png) prompt: 5 15,4 15,time 200,bp 3000,s A1,sp 3000,ga 156,7 15,ge 934,1 20,6 15,2 20,3 15 ![images_2)](./images_2.png) prompt: bp 3000,ga 190,time 200,3 15,2 20,5 15,7 15,1 20,ge 900,4 15,6 15,sp 3000,s A1 ![images_3)](./images_3.png) prompt: 2 20,s A1,3 15,7 15,sp 3000,4 15,1 20,ge 900,5 15,bp 3000,time 200,6 15,ga 190 ![images_4)](./images_4.png) prompt: 5 15,4 15,sp 3000,s A1,3 15,7 15,ga 190,2 20,ge 900,6 15,1 20,time 200,bp 3000 ![images_5)](./images_5.png) prompt: sp 3000,time 200,5 11,4 11,ge 867.5,7 11,3 11,bp 3000,2 16,s A1,ga 222.5,6 11,1 16 ![images_6)](./images_6.png) prompt: sp 3000,time 200,bp 3000,1 20,2 20,7 15,5 15,s A1,ga 156,3 15,ge 934,4 15,6 15 ![images_7)](./images_7.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]

Note7 de out.huggingface.co/chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask

Source context: 2 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask

Note30 de jul.huggingface.co/chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask

Source context: 1 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask