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@@ -18,9 +18,6 @@ base_model: runwayml/stable-diffusion-v1-5
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  inference: true
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  ---
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- <!-- This model card has been generated automatically according to the information the training script had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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  # LoRA text2image fine-tuning - animanatwork/illustrations-lora
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  These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the animanatwork/text_to_image_dataset dataset.
@@ -34,7 +31,7 @@ Some images from the dataset:
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  </div>
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- Some images generated from the model:
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  <div style="display: flex; justify-content: space-between;">
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  <img src="./image_0.png" width="25%" />
@@ -44,6 +41,7 @@ Some images generated from the model:
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  </div>
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  ## Intended uses & limitations
 
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  #### How to use
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@@ -57,4 +55,8 @@ Some images generated from the model:
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  ## Training details
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  [TODO: describe the data used to train the model]
 
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  inference: true
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  ---
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  # LoRA text2image fine-tuning - animanatwork/illustrations-lora
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  These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the animanatwork/text_to_image_dataset dataset.
 
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  </div>
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+ Some images generated from the model using the prompt: "a stylized illustration of a woman sitting in a comfortable chair, reading a book. She is wearing a hat, and her expression appears focused and calm. A black cat is also depicted, sitting beside her and looking at the book, suggesting a shared moment of quiet and companionship. The woman is dressed in a casual outfit with yellow shoes, and the overall color scheme is simple, using black, white, and yellow. The setting seems cozy and peaceful, ideal for reading."
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  <div style="display: flex; justify-content: space-between;">
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  <img src="./image_0.png" width="25%" />
 
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  </div>
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  ## Intended uses & limitations
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+ Do NOT use in production. This model was purely created for research purposes.
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  #### How to use
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  ## Training details
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+ - The model was trained on the "animanatwork/text_to_image_dataset" dataset using 10_000 training step (default is 15_000) and took several hours to train. For more details see [Colab notebook](https://colab.research.google.com/drive/1CePJWR2sfYW-w0oPuiIdJzuc82Z6yYHt#scrollTo=QzKEQJYkUv2Q).
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  [TODO: describe the data used to train the model]