End of training
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- README.md +39 -0
- checkpoint-1000/model.safetensors +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1500/model.safetensors +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-2000/model.safetensors +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-2500/model.safetensors +3 -0
- checkpoint-2500/optimizer.bin +3 -0
- checkpoint-2500/random_states_0.pkl +3 -0
- checkpoint-2500/scheduler.bin +3 -0
- checkpoint-3000/model.safetensors +3 -0
- checkpoint-3000/optimizer.bin +3 -0
- checkpoint-3000/random_states_0.pkl +3 -0
- checkpoint-3000/scheduler.bin +3 -0
- checkpoint-500/model.safetensors +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- feature_extractor/preprocessor_config.json +27 -0
- learned_embeds-steps-1000.safetensors +3 -0
- learned_embeds-steps-1500.safetensors +3 -0
- learned_embeds-steps-2000.safetensors +3 -0
- learned_embeds-steps-2500.safetensors +3 -0
- learned_embeds-steps-3000.safetensors +3 -0
- learned_embeds-steps-500.safetensors +3 -0
- learned_embeds.safetensors +3 -0
- logs/textual_inversion/1736624287.5762012/events.out.tfevents.1736624287.kyoto.404537.1 +3 -0
- logs/textual_inversion/1736624287.5799584/hparams.yml +48 -0
- logs/textual_inversion/1736624624.5511825/events.out.tfevents.1736624624.kyoto.405434.1 +3 -0
- logs/textual_inversion/1736624624.5546846/hparams.yml +48 -0
- logs/textual_inversion/1736624696.1012022/events.out.tfevents.1736624696.kyoto.405932.1 +3 -0
- logs/textual_inversion/1736624696.1046824/hparams.yml +48 -0
- logs/textual_inversion/1736624728.4853013/events.out.tfevents.1736624728.kyoto.406170.1 +3 -0
- logs/textual_inversion/1736624728.4888284/hparams.yml +48 -0
- logs/textual_inversion/events.out.tfevents.1736624287.kyoto.404537.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1736624624.kyoto.405434.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1736624696.kyoto.405932.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1736624728.kyoto.406170.0 +3 -0
- model_index.json +38 -0
- safety_checker/config.json +29 -0
- safety_checker/model.safetensors +3 -0
- scheduler/scheduler_config.json +15 -0
- text_encoder/config.json +25 -0
README.md
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---
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base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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library_name: diffusers
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license: creativeml-openrail-m
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inference: true
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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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- diffusers-training
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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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# Textual inversion text2image fine-tuning - kevinlu4588/textual_inversion_cat
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These are textual inversion adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. You can find some example images in the following.
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## Intended uses & limitations
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#### How to use
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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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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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checkpoint-1000/model.safetensors
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adam_beta1: 0.9
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adam_beta2: 0.999
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text_encoder/config.json
ADDED
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{
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"_name_or_path": "stable-diffusion-v1-5/stable-diffusion-v1-5",
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float32",
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"transformers_version": "4.48.0",
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"vocab_size": 49409
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}
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