Upload folder using huggingface_hub

models/people_Amelia_Vega_uce_000/README.md

@@ -0,0 +1,121 @@
+---
+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: Amelia Vega
+  guide_concepts: people
+  preserve_concepts: people
+  expand_prompts: false
+  output_dir: assets/models/people_Amelia_Vega_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: 26.233320236206055
+      name: ForgetSet clip score of original model mean (~↑)
+    - type: clip
+      value: 2.4514176075225382
+      name: ForgetSet clip score of original model std (~↓)
+    - type: clip
+      value: 23.89815616607666
+      name: ForgetSet clip score of unlearned model mean (↓)
+    - type: clip
+      value: 2.2859337007267877
+      name: ForgetSet clip score of unlearned model std (~↓)
+    - type: clip
+      value: 2.3351640701293945
+      name: ForgetSet clip score difference between original and unlearned mean (↑)
+    - type: clip
+      value: 1.0958506742527894
+      name: ForgetSet clip score difference between original and unlearned std (~↓)
+    - type: clip
+      value: 30.1753511428833
+      name: RetainSet clip score of original model mean (~↑)
+    - type: clip
+      value: 3.4665441623676605
+      name: RetainSet clip score of original model std (~↓)
+    - type: clip
+      value: 30.79464101791382
+      name: RetainSet clip score of unlearned model mean (↑)
+    - type: clip
+      value: 1.9578442742701052
+      name: RetainSet clip score of unlearned model std (~↓)
+    - type: clip
+      value: -0.6192898750305176
+      name: RetainSet clip score difference between original and unlearned mean (↓)
+    - type: clip
+      value: 1.8803679572059764
+      name: RetainSet clip score difference between original and unlearned std (~↓)
+    - type: runtime
+      value: 1.0456297596295674
+      name: Inference latency seconds mean (↓)
+    - type: runtime
+      value: 0.003254158784479213
+      name: Inference latency seconds std (~↓)
+  - task:
+      type: text-to-image
+    dataset:
+      name: '[''Amelia Vega''] (forget) and [''people''] (retain) sets'
+      type: forget-and-retain-together
+    metrics:
+    - type: runtime
+      value: 0.0003647804260253906
+      name: Runtime init seconds (~↓)
+    - type: runtime
+      value: 5.4836273193359375e-06
+      name: Runtime data loading seconds (~↓)
+    - type: runtime
+      value: 1.2804617881774902
+      name: Runtime training seconds (↓)
+    - type: runtime
+      value: 67.93677592277527
+      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 Amelia Vega dataset, while retaining people.
+You can find some example images in the following.
+
+![img](images/Forget - An image of Amelia Vega.png)
+![img](images/Forget - Photograph of Amelia Vega; high definition.png)
+![img](images/Forget - An picture of Amelia Vega in the rain.png)
+![img](images/Forget - An picture of Amelia Vega 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_Amelia_Vega_uce_000/uce_sd_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:508dadda3a7644bcbf09746715231c8402cedcd03d0e6f2b5ec99df36877206a
+size 76681464