End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
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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 +44 -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/1717091468.1482027/events.out.tfevents.1717091468.9445affb54d5.31438.1 +3 -0
- logs/textual_inversion/1717091468.1556923/hparams.yml +48 -0
- logs/textual_inversion/events.out.tfevents.1717091468.9445affb54d5.31438.0 +3 -0
- model_index.json +38 -0
- safety_checker/config.json +28 -0
- safety_checker/model.safetensors +3 -0
- scheduler/scheduler_config.json +15 -0
- text_encoder/config.json +25 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/added_tokens.json +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +38 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +68 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +34 -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 - apkz2000/TextualInversion
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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/model.safetensors
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{
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}
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|
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1 |
+
{
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2 |
+
"_class_name": "AutoencoderKL",
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3 |
+
"_diffusers_version": "0.29.0.dev0",
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4 |
+
"_name_or_path": "runwayml/stable-diffusion-v1-5",
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5 |
+
"act_fn": "silu",
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6 |
+
"block_out_channels": [
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7 |
+
128,
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8 |
+
256,
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9 |
+
512,
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10 |
+
512
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11 |
+
],
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12 |
+
"down_block_types": [
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13 |
+
"DownEncoderBlock2D",
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14 |
+
"DownEncoderBlock2D",
|
15 |
+
"DownEncoderBlock2D",
|
16 |
+
"DownEncoderBlock2D"
|
17 |
+
],
|
18 |
+
"force_upcast": true,
|
19 |
+
"in_channels": 3,
|
20 |
+
"latent_channels": 4,
|
21 |
+
"latents_mean": null,
|
22 |
+
"latents_std": null,
|
23 |
+
"layers_per_block": 2,
|
24 |
+
"norm_num_groups": 32,
|
25 |
+
"out_channels": 3,
|
26 |
+
"sample_size": 512,
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27 |
+
"scaling_factor": 0.18215,
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28 |
+
"up_block_types": [
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29 |
+
"UpDecoderBlock2D",
|
30 |
+
"UpDecoderBlock2D",
|
31 |
+
"UpDecoderBlock2D",
|
32 |
+
"UpDecoderBlock2D"
|
33 |
+
]
|
34 |
+
}
|