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---
base_model: stabilityai/stable-diffusion-2-1-base
library_name: diffusers
license: creativeml-openrail-m
inference: true
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- controlnet
- diffusers-training
- 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-ameliasasinDDG/model_out
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
## Intended uses & limitations
Run only with prompt Van Gogh Painting of ... since dinetuned on his paintings
#### Limitations and bias
it it finetuned on only 3 epoch of 500 images due to computational limitations
## Training details
--pretrained_model_name_or_path="runwayml/stable-diffusion-v1-5" \
--controlnet_model_name_or_path="lllyasviel/sd-controlnet-canny" \
--output_dir="model_out" \
--dataset_name=ameliasasinDDG/vanGogh \
--conditioning_image_column=target \
--image_column=source \
--caption_column=prompt \
--resolution=512 \
--learning_rate=1e-5 \
--train_batch_size=8 \
--num_train_epochs=3 \
--tracker_project_name="controlnet" \
--checkpointing_steps=5000 \
--push_to_hub |