LoRA text2image fine-tuning - LeonardoBenitez/distil_Bush_to_Thatcher
These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were fine-tuned for forgetting assets/datasets/lfw_splits/George_W_Bush/train_forget dataset, while retaining assets/datasets/lfw_splits/George_W_Bush/train_retain. You can find some example images in the following.
Intended uses & limitations
How to use
# 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]
Inference Providers NEW
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Evaluation results
- ForgetSet clip score of original model mean (~↑) on Forget setself-reportedNaN
- ForgetSet clip score of original model std (~↓) on Forget setself-reportedNaN
- ForgetSet clip score of learned model mean (~↑) on Forget setself-reportedNaN
- ForgetSet clip score of learned model std (~↓) on Forget setself-reportedNaN
- ForgetSet clip score of unlearned model mean (↓) on Forget setself-reportedNaN
- ForgetSet clip score of unlearned model std (~↓) on Forget setself-reportedNaN
- ForgetSet clip score difference between learned and unlearned mean (↑) on Forget setself-reportedNaN
- ForgetSet clip score difference between learned and unlearned std (~↓) on Forget setself-reportedNaN
- ForgetSet clip score difference between original and unlearned mean (↑) on Forget setself-reportedNaN
- ForgetSet clip score difference between original and unlearned std (~↓) on Forget setself-reportedNaN
- RetainSet clip score of original model mean (~↑) on Forget setself-reportedNaN
- RetainSet clip score of original model std (~↓) on Forget setself-reportedNaN
- RetainSet clip score of learned model mean (~↓) on Forget setself-reportedNaN
- RetainSet clip score of learned model std (~↓) on Forget setself-reportedNaN
- RetainSet clip score of unlearned model mean (↑) on Forget setself-reportedNaN
- RetainSet clip score of unlearned model std (~↓) on Forget setself-reportedNaN
- RetainSet clip score difference between learned and unlearned mean (↓) on Forget setself-reportedNaN
- RetainSet clip score difference between learned and unlearned std (~↓) on Forget setself-reportedNaN
- RetainSet clip score difference between original and unlearned mean (↓) on Forget setself-reportedNaN
- RetainSet clip score difference between original and unlearned std (~↓) on Forget setself-reportedNaN