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ControlNet Inpainting Shuffle Processedpromp Changemask Condition Random Mask UnfreezeUnet

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

Sourcehuggingface.co/chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask_UnfreezeUnet/tree/921bbb4138419f10878147d3fe4882079aef7159
KindControlNetBase modelrunwayml/stable-diffusion-v1-5VersionBgrade

Model source

Kind
ControlNet
File size
1.35 GB
Base model
runwayml/stable-diffusion-v1-5
Version
vdiffusion_pytorch_model
Updated
Oct 7, 2026
Downloads
0
Source
Hugging Face

Source description

controlnet-chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask_UnfreezeUnet

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

prompt: 6 15,ge 934,2 20,sp 3000,5 15,1 20,4 15,time 200,s A1,ga 156,7 15,3 15,bp 3000 images_0) prompt: bp 3000,7 11,ge 900,1 16,s A1,2 16,6 11,time 200,sp 2800,ga 190,5 11,3 11,4 11 images_1) prompt: bp 2600,7 11,ga 190,6 11,1 16,4 11,s A1,5 11,2 16,ge 900,3 11,time 200,sp 3000 images_2) prompt: 4 15,ga 190,1 20,6 15,bp 3000,s A1,7 15,sp 3000,ge 900,time 200,5 15,2 20,3 15 images_3) prompt: 1 16,sp 3000,3 11,7 11,time 200,bp 3000,ga 190,6 11,ge 900,2 16,4 11,5 11,s A1 images_4) 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_5) prompt: 1 16,s A1,4 11,6 11,5 11,ge 900,bp 3000,2 16,7 11,3 11,ga 190,time 200,sp 3200 images_6) prompt: 4 11,s A1,7 11,6 11,sp 3200,5 11,3 11,bp 3000,2 16,time 200,ga 190,ge 900,1 16 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]

Sources

1 source
Hugging FacePrimaryVersion 921bbb4138419f10878147d3fe4882079aef7159
huggingface.co/chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask_UnfreezeUnet/tree/921bbb4138419f10878147d3fe4882079aef7159

Verified Oct 7

Model artifacts

1 artifact

checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 1.35 GB · SHA-256 1685639f609a…3481 · Hugging Face

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Source excerpts

3 excerpts
ReadmeJul 30huggingface.co/chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask_UnfreezeUnet

--- 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_UnfreezeUnet These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below. prompt: 6 15,ge 934,2 20,sp 3000,5 15,1 20,4 15,time 200,s A1,ga 156,7 15,3 15,bp 3000 ![images_0)](./images_0.png) prompt: bp 3000,7 11,ge 900,1 16,s A1,2 16,6 11,time 200,sp 2800,ga 190,5 11,3 11,4 11 ![images_1)](./images_1.png) prompt: bp 2600,7 11,ga 190,6 11,1 16,4 11,s A1,5 11,2 16,ge 900,3 11,time 200,sp 3000 ![images_2)](./images_2.png) prompt: 4 15,ga 190,1 20,6 15,bp 3000,s A1,7 15,sp 3000,ge 900,time 200,5 15,2 20,3 15 ![images_3)](./images_3.png) prompt: 1 16,sp 3000,3 11,7 11,time 200,bp 3000,ga 190,6 11,ge 900,2 16,4 11,5 11,s A1 ![images_4)](./images_4.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_5)](./images_5.png) prompt: 1 16,s A1,4 11,6 11,5 11,ge 900,bp 3000,2 16,7 11,3 11,ga 190,time 200,sp 3200 ![images_6)](./images_6.png) prompt: 4 11,s A1,7 11,6 11,sp 3200,5 11,3 11,bp 3000,2 16,time 200,ga 190,ge 900,1 16 ![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]

NoteOct 7huggingface.co/chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask_UnfreezeUnet

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

NoteJul 30huggingface.co/chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask_UnfreezeUnet

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