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sd-kvasir-imagen-demo

Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Model card Files
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  1. .gitattributes +4 -0
  2. README.md +49 -0
  3. checkpoint-6000/model.safetensors +3 -0
  4. checkpoint-6000/optimizer.bin +3 -0
  5. checkpoint-6000/pytorch_lora_weights.safetensors +3 -0
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  7. checkpoint-6000/scheduler.bin +3 -0
  8. checkpoint-7000/model.safetensors +3 -0
  9. checkpoint-7000/optimizer.bin +3 -0
  10. checkpoint-7000/pytorch_lora_weights.safetensors +3 -0
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  13. checkpoint-8000/model.safetensors +3 -0
  14. checkpoint-8000/optimizer.bin +3 -0
  15. checkpoint-8000/pytorch_lora_weights.safetensors +3 -0
  16. checkpoint-8000/random_states_0.pkl +3 -0
  17. checkpoint-8000/scheduler.bin +3 -0
  18. image_0.png +3 -0
  19. image_1.png +3 -0
  20. image_2.png +3 -0
  21. image_3.png +3 -0
  22. pytorch_lora_weights.safetensors +3 -0
.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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+ image_1.png filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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+ library_name: diffusers
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+ license: creativeml-openrail-m
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+ inference: true
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - diffusers-training
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+ - lora
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - diffusers-training
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+ - lora
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+ ---
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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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+
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+ # LoRA text2image fine-tuning - SushantGautam/sd-kvasir-imagen-demo
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+ These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were fine-tuned on the waitwhoami/vqa_caption.dataset-test dataset. You can find some example images in the following.
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+
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+ ![img_0](./image_0.png)
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+ ![img_1](./image_1.png)
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+ ![img_2](./image_2.png)
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+ ![img_3](./image_3.png)
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+
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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