Upload folder using huggingface_hub

models/people_Clay_Aiken_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: Clay Aiken
+  guide_concepts: people
+  preserve_concepts: people
+  expand_prompts: false
+  output_dir: assets/models/people_Clay_Aiken_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: 27.824500560760498
+      name: ForgetSet clip score of original model mean (~↑)
+    - type: clip
+      value: 1.8489684157260642
+      name: ForgetSet clip score of original model std (~↓)
+    - type: clip
+      value: 27.563536167144775
+      name: ForgetSet clip score of unlearned model mean (↓)
+    - type: clip
+      value: 0.6473523712842162
+      name: ForgetSet clip score of unlearned model std (~↓)
+    - type: clip
+      value: 0.26096439361572266
+      name: ForgetSet clip score difference between original and unlearned mean (↑)
+    - type: clip
+      value: 2.155117153332647
+      name: ForgetSet clip score difference between original and unlearned std (~↓)
+    - type: clip
+      value: 31.1106276512146
+      name: RetainSet clip score of original model mean (~↑)
+    - type: clip
+      value: 1.3728299494406715
+      name: RetainSet clip score of original model std (~↓)
+    - type: clip
+      value: 31.70279884338379
+      name: RetainSet clip score of unlearned model mean (↑)
+    - type: clip
+      value: 2.4883405957841784
+      name: RetainSet clip score of unlearned model std (~↓)
+    - type: clip
+      value: -0.5921711921691895
+      name: RetainSet clip score difference between original and unlearned mean (↓)
+    - type: clip
+      value: 1.4605145416434702
+      name: RetainSet clip score difference between original and unlearned std (~↓)
+    - type: runtime
+      value: 0.9986350138982136
+      name: Inference latency seconds mean (↓)
+    - type: runtime
+      value: 0.0025935927895912006
+      name: Inference latency seconds std (~↓)
+  - task:
+      type: text-to-image
+    dataset:
+      name: '[''Clay Aiken''] (forget) and [''people''] (retain) sets'
+      type: forget-and-retain-together
+    metrics:
+    - type: runtime
+      value: 0.0004992485046386719
+      name: Runtime init seconds (~↓)
+    - type: runtime
+      value: 5.7220458984375e-06
+      name: Runtime data loading seconds (~↓)
+    - type: runtime
+      value: 1.2759041786193848
+      name: Runtime training seconds (↓)
+    - type: runtime
+      value: 66.26074194908142
+      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 Clay Aiken dataset, while retaining people.
+You can find some example images in the following.
+
+![img](images/Forget - An image of Clay Aiken.png)
+![img](images/Forget - Photograph of Clay Aiken; high definition.png)
+![img](images/Forget - An picture of Clay Aiken in the rain.png)
+![img](images/Forget - An picture of Clay Aiken 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_Clay_Aiken_uce_000/uce_sd_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de83b8abb47375a39a530d811ab60c0e683e1f59006ca61fc012aeb0f459aedf
+size 76681464