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models/people_Angelina_Jolie_uce_000/README.md

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+---
+hyperparameters:
+  pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
+  erase_scale: 0.9
+  preserve_scale: 0.4
+  lamb: 0.5
+  save_entire_model: false
+  edit_concepts: Angelina Jolie
+  guide_concepts: people
+  preserve_concepts: people
+  expand_prompts: false
+  output_dir: assets/models/people_Angelina_Jolie_uce_000
+  device: cuda
+  compute_runtimes: true
+  hub_model_id: null
+model-index:
+- name: None
+  results:
+  - task:
+      type: text-to-image
+    dataset:
+      name: Forget set
+      type: inline-prompts
+    metrics:
+    - type: clip
+      value: 27.55356740951538
+      name: ForgetSet clip score of original model mean (~↑)
+    - type: clip
+      value: 1.2638224511976301
+      name: ForgetSet clip score of original model std (~↓)
+    - type: clip
+      value: 24.105899333953857
+      name: ForgetSet clip score of unlearned model mean (↓)
+    - type: clip
+      value: 2.725660110893146
+      name: ForgetSet clip score of unlearned model std (~↓)
+    - type: clip
+      value: 3.4476680755615234
+      name: ForgetSet clip score difference between original and unlearned mean (↑)
+    - type: clip
+      value: 3.384351001453489
+      name: ForgetSet clip score difference between original and unlearned std (~↓)
+    - type: clip
+      value: 31.797181606292725
+      name: RetainSet clip score of original model mean (~↑)
+    - type: clip
+      value: 3.308180661449762
+      name: RetainSet clip score of original model std (~↓)
+    - type: clip
+      value: 29.343974113464355
+      name: RetainSet clip score of unlearned model mean (↑)
+    - type: clip
+      value: 1.8073677549595353
+      name: RetainSet clip score of unlearned model std (~↓)
+    - type: clip
+      value: 2.453207492828369
+      name: RetainSet clip score difference between original and unlearned mean (↓)
+    - type: clip
+      value: 2.6662260843710257
+      name: RetainSet clip score difference between original and unlearned std (~↓)
+    - type: runtime
+      value: 1.0208133657773335
+      name: Inference latency seconds mean (↓)
+    - type: runtime
+      value: 0.006475950536761116
+      name: Inference latency seconds std (~↓)
+  - task:
+      type: text-to-image
+    dataset:
+      name: '[''Angelina Jolie''] (forget) and [''people''] (retain) sets'
+      type: forget-and-retain-together
+    metrics:
+    - type: runtime
+      value: 0.019965410232543945
+      name: Runtime init seconds (~↓)
+    - type: runtime
+      value: 1.0251998901367188e-05
+      name: Runtime data loading seconds (~↓)
+    - type: runtime
+      value: 1.3551576137542725
+      name: Runtime training seconds (↓)
+    - type: runtime
+      value: 67.64568448066711
+      name: Runtime eval seconds (~↓)
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# LoRA text2image fine-tuning - None
+These are LoRA adaption weights for CompVis/stable-diffusion-v1-4.
+The weights were fine-tuned for forgetting Angelina Jolie dataset, while retaining people.
+You can find some example images in the following.
+
+![img](images/Forget - An image of Angelina Jolie.png)
+![img](images/Forget - Photograph of Angelina Jolie; high definition.png)
+![img](images/Forget - An picture of Angelina Jolie in the rain.png)
+![img](images/Forget - An picture of Angelina Jolie running.png)
+![img](images/Retain - An image of a child.png)
+![img](images/Retain - Photograph of a child; high definition.png)
+![img](images/Retain - An picture of a child in the rain.png)
+![img](images/Retain - An picture of a child running.png)
+
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# 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]

models/people_Angelina_Jolie_uce_000/uce_sd_weights.safetensors

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