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SurAyush
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StableEmote_LoRA

Text-to-Image
Diffusers
stable-diffusion
lora
Model card Files
xet
Community
SurAyush commited on
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End of training

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  1. README.md +35 -0
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
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  10. checkpoint-2000/optimizer.bin +3 -0
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  14. checkpoint-2500/optimizer.bin +3 -0
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  20. checkpoint-3000/random_states_0.pkl +3 -0
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  22. checkpoint-3500/optimizer.bin +3 -0
  23. checkpoint-3500/pytorch_lora_weights.safetensors +3 -0
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  26. checkpoint-4000/optimizer.bin +3 -0
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  28. checkpoint-4000/random_states_0.pkl +3 -0
  29. checkpoint-4000/scheduler.bin +3 -0
  30. checkpoint-4500/optimizer.bin +3 -0
  31. checkpoint-4500/pytorch_lora_weights.safetensors +3 -0
  32. checkpoint-4500/random_states_0.pkl +3 -0
  33. checkpoint-4500/scheduler.bin +3 -0
  34. checkpoint-500/optimizer.bin +3 -0
  35. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  36. checkpoint-500/random_states_0.pkl +3 -0
  37. checkpoint-500/scheduler.bin +3 -0
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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+ inference: true
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+ tags:
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+ - text-to-image
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+ - diffusers
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+ - stable-diffusion
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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 of stable-diffusion-1.5
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+ These are LoRA adaption weights for stable-diffusion-1.5. The weights were fine-tuned on the valhalla/emoji-dataset dataset.
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+ Refer to the GitHub Repo for more information: https://github.com/SurAyush/StableEmote
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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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