diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..9075697cf0bf7ed5b9d3e6a308912000467e739b --- /dev/null +++ b/README.md @@ -0,0 +1,47 @@ +--- +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 +--- + + + + +# controlnet-shunki555/model_out2 + +These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. +You can find some example images below. + +prompt: A lymph node without cancer metastasis, lymph, center of the image, +![images_0)](./images_0.png) +prompt: A lymph node without cancer metastasis, lymph, center of the image, +![images_1)](./images_1.png) +prompt: A lymph node without cancer metastasis, lymph, center of the image, +![images_2)](./images_2.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] \ No newline at end of file diff --git a/checkpoint-1000/controlnet/config.json b/checkpoint-1000/controlnet/config.json new file mode 100644 index 0000000000000000000000000000000000000000..974b4c8822a0b69e32810fdfa7666e8628c4c20d --- /dev/null +++ b/checkpoint-1000/controlnet/config.json @@ -0,0 +1,56 @@ +{ + "_class_name": "ControlNetModel", + "_diffusers_version": "0.32.0.dev0", + "act_fn": "silu", + "addition_embed_type": null, + "addition_embed_type_num_heads": 64, + "addition_time_embed_dim": null, + "attention_head_dim": [ + 5, + 10, + 20, + 20 + ], + "block_out_channels": [ + 320, + 640, + 1280, + 1280 + ], + "class_embed_type": null, + "conditioning_channels": 3, + 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