diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..06f6bcc225c0ec110f0afa29fe89563524a6ca8b --- /dev/null +++ b/README.md @@ -0,0 +1,45 @@ +--- +base_model: stabilityai/stable-diffusion-xl-base-1.0 +library_name: diffusers +license: openrail++ +tags: +- stable-diffusion-xl +- stable-diffusion-xl-diffusers +- text-to-image +- diffusers +- controlnet +- diffusers-training +inference: true +--- + + + + +# controlnet-Salah-idine2/controlnet_sdxl + +These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. +You can find some example images below. + +prompt: red circle with blue background +![images_0)](./images_0.png) +prompt: cyan circle with brown floral background +![images_1)](./images_1.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..ceb1969b1401c0beea3378723c365365aeae2959 --- /dev/null +++ b/checkpoint-1000/controlnet/config.json @@ -0,0 +1,57 @@ +{ + "_class_name": "ControlNetModel", + "_diffusers_version": "0.30.0.dev0", + "act_fn": "silu", + "addition_embed_type": "text_time", + "addition_embed_type_num_heads": 64, + "addition_time_embed_dim": 256, + "attention_head_dim": [ + 5, + 10, + 20 + ], + "block_out_channels": [ + 320, + 640, + 1280 + ], + "class_embed_type": null, + "conditioning_channels": 3, + "conditioning_embedding_out_channels": [ + 16, + 32, + 96, + 256 + ], + "controlnet_conditioning_channel_order": "rgb", + "cross_attention_dim": 2048, + "down_block_types": [ + 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