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  1. README.md +38 -0
  2. checkpoint-1000/model.safetensors +3 -0
  3. checkpoint-1000/optimizer.bin +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
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  20. learned_embeds-steps-1500.safetensors +3 -0
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  22. learned_embeds-steps-500.safetensors +3 -0
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  24. logs/textual_inversion/1709775902.4811814/events.out.tfevents.1709775902.dl3090-05.57646.1 +3 -0
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  28. safety_checker/config.json +28 -0
  29. safety_checker/model.safetensors +3 -0
  30. scheduler/scheduler_config.json +15 -0
  31. text_encoder/config.json +25 -0
  32. text_encoder/model.safetensors +3 -0
  33. tokenizer/added_tokens.json +3 -0
  34. tokenizer/merges.txt +0 -0
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  36. tokenizer/tokenizer_config.json +38 -0
  37. tokenizer/vocab.json +0 -0
  38. unet/config.json +68 -0
  39. unet/diffusion_pytorch_model.safetensors +3 -0
  40. vae/config.json +34 -0
  41. vae/diffusion_pytorch_model.safetensors +3 -0
README.md ADDED
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+ ---
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+ license: creativeml-openrail-m
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+ library_name: diffusers
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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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+ - textual_inversion
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+ base_model: runwayml/stable-diffusion-v1-5
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+ inference: true
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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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+ # Textual inversion text2image fine-tuning - ZhiguangHan/textual_inversion_dog
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+ These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
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+
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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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