End of training
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- README.md +39 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_model.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_model.bin +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_model.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-2500/optimizer.bin +3 -0
- checkpoint-2500/pytorch_model.bin +3 -0
- checkpoint-2500/random_states_0.pkl +3 -0
- checkpoint-2500/scheduler.bin +3 -0
- checkpoint-3000/optimizer.bin +3 -0
- checkpoint-3000/pytorch_model.bin +3 -0
- checkpoint-3000/random_states_0.pkl +3 -0
- checkpoint-3000/scheduler.bin +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_model.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- feature_extractor/preprocessor_config.json +28 -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/1723474341.6711853/events.out.tfevents.1723474341.pku.6491.1 +3 -0
- logs/textual_inversion/1723474341.6774175/hparams.yml +48 -0
- logs/textual_inversion/1723475423.9213002/events.out.tfevents.1723475423.pku.21155.1 +3 -0
- logs/textual_inversion/1723475423.9277928/hparams.yml +48 -0
- logs/textual_inversion/1723536732.9854188/events.out.tfevents.1723536732.pku.13134.1 +3 -0
- logs/textual_inversion/1723536733.0024617/hparams.yml +48 -0
- logs/textual_inversion/1723538439.452235/events.out.tfevents.1723538439.pku.10889.1 +3 -0
- logs/textual_inversion/1723538439.4759865/hparams.yml +48 -0
- logs/textual_inversion/1723538907.5775163/events.out.tfevents.1723538907.pku.27591.1 +3 -0
- logs/textual_inversion/1723538907.5790308/hparams.yml +48 -0
- logs/textual_inversion/events.out.tfevents.1723474341.pku.6491.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1723475423.pku.21155.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1723536732.pku.13134.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1723538439.pku.10889.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1723538907.pku.27591.0 +3 -0
- model_index.json +38 -0
- safety_checker/config.json +168 -0
README.md
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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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- diffusers-training
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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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<!-- 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 - acy123/textual_inversion_cat
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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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## 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/optimizer.bin
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|
27 |
+
"transformers",
|
28 |
+
"CLIPTokenizer"
|
29 |
+
],
|
30 |
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"unet": [
|
31 |
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"diffusers",
|
32 |
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"UNet2DConditionModel"
|
33 |
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],
|
34 |
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"vae": [
|
35 |
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"diffusers",
|
36 |
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"AutoencoderKL"
|
37 |
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]
|
38 |
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}
|
safety_checker/config.json
ADDED
@@ -0,0 +1,168 @@
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