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RobertoNeglia
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pepe_generator_sd2base_sentiment

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Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
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End of training

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  1. .gitattributes +4 -0
  2. README.md +43 -0
  3. checkpoint-100/optimizer.bin +3 -0
  4. checkpoint-100/pytorch_lora_weights.safetensors +3 -0
  5. checkpoint-100/random_states_0.pkl +3 -0
  6. checkpoint-100/scheduler.bin +3 -0
  7. checkpoint-1000/model.safetensors +3 -0
  8. checkpoint-1000/optimizer.bin +3 -0
  9. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
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  12. checkpoint-1100/optimizer.bin +3 -0
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  18. checkpoint-1200/random_states_0.pkl +3 -0
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  20. checkpoint-1300/optimizer.bin +3 -0
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  22. checkpoint-1300/random_states_0.pkl +3 -0
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  24. checkpoint-1400/optimizer.bin +3 -0
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  26. checkpoint-1400/random_states_0.pkl +3 -0
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  30. checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
  31. checkpoint-1500/random_states_0.pkl +3 -0
  32. checkpoint-1500/scheduler.bin +3 -0
  33. checkpoint-1600/optimizer.bin +3 -0
  34. checkpoint-1600/pytorch_lora_weights.safetensors +3 -0
  35. checkpoint-1600/random_states_0.pkl +3 -0
  36. checkpoint-1600/scheduler.bin +3 -0
  37. checkpoint-1700/optimizer.bin +3 -0
  38. checkpoint-1700/pytorch_lora_weights.safetensors +3 -0
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  41. checkpoint-1800/optimizer.bin +3 -0
  42. checkpoint-1800/pytorch_lora_weights.safetensors +3 -0
  43. checkpoint-1800/random_states_0.pkl +3 -0
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  45. checkpoint-1900/optimizer.bin +3 -0
  46. checkpoint-1900/pytorch_lora_weights.safetensors +3 -0
  47. checkpoint-1900/random_states_0.pkl +3 -0
  48. checkpoint-1900/scheduler.bin +3 -0
  49. checkpoint-200/optimizer.bin +3 -0
  50. checkpoint-200/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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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ image_0.png 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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+ image_2.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: stabilityai/stable-diffusion-2-base
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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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+ ---
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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 - RobertoNeglia/pepe_generator_sd2base_sentiment
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-2-base. The weights were fine-tuned on the RobertoNeglia/pepe_dataset_sentiment 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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