maxpmx/output_dapi-he

1---2base_model: stable-diffusion-v1-5/stable-diffusion-v1-53library_name: diffusers4license: creativeml-openrail-m5tags:6- stable-diffusion7- stable-diffusion-diffusers8- text-to-image9- diffusers10- controlnet11- diffusers-training12inference: true13---14 15<!-- This model card has been generated automatically according to the information the training script had access to. You16should probably proofread and complete it, then remove this comment. -->17 18 19# controlnet-maxpmx/output_dapi-he20 21These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 with new type of conditioning.22You can find some example images below.23 24prompt: H&E image25![images_0)](./images_0.png)26prompt: H&E image27![images_1)](./images_1.png)28 29 30 31## Intended uses & limitations32 33#### How to use34 35```python36# TODO: add an example code snippet for running this diffusion pipeline37```38 39#### Limitations and bias40 41[TODO: provide examples of latent issues and potential remediations]42 43## Training details44 45[TODO: describe the data used to train the model]