| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| library_name: diffusers | |
| license: creativeml-openrail-m | |
| tags: | |
| - stable-diffusion-xl | |
| - stable-diffusion-xl-diffusers | |
| - text-to-image | |
| - diffusers-training | |
| - diffusers | |
| inference: true | |
| <!-- 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. --> | |
| # Text-to-image finetuning - GiantAnalytics/sdxl_fine_tuned_model_aditya_2 | |
| This pipeline was finetuned from **stabilityai/stable-diffusion-xl-base-1.0** on the **/content/drive/MyDrive/combine_images/** dataset. Below are some example images generated with the finetuned pipeline using the following prompt: an abstract pattern composed of organic, brushstroke-like shapes in various shades of blue, brown, and white. The shapes are arranged in a loose, overlapping pattern, creating a sense of movement and energy: | |
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| Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. | |
| ## 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] |