alejandrohdez
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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-3500/model.safetensors +3 -0
- checkpoint-3500/optimizer.bin +3 -0
- checkpoint-3500/random_states_0.pkl +3 -0
- checkpoint-3500/scheduler.bin +3 -0
- checkpoint-4000/model.safetensors +3 -0
- checkpoint-4000/optimizer.bin +3 -0
- checkpoint-4000/random_states_0.pkl +3 -0
- checkpoint-4000/scheduler.bin +3 -0
- checkpoint-4500/model.safetensors +3 -0
- checkpoint-4500/optimizer.bin +3 -0
- checkpoint-4500/random_states_0.pkl +3 -0
- checkpoint-4500/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
- checkpoint-5000/model.safetensors +3 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/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-3500.safetensors +3 -0
- learned_embeds-steps-4000.safetensors +3 -0
- learned_embeds-steps-4500.safetensors +3 -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 - alejandrohdez/textual_inversion_domenico-veneziano
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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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|
|
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|
1 |
+
{
|
2 |
+
"_valid_processor_keys": [
|
3 |
+
"images",
|
4 |
+
"do_resize",
|
5 |
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"size",
|
6 |
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"resample",
|
7 |
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"do_center_crop",
|
8 |
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"crop_size",
|
9 |
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"do_rescale",
|
10 |
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"rescale_factor",
|
11 |
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"do_normalize",
|
12 |
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|
13 |
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|
14 |
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|
15 |
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"return_tensors",
|
16 |
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"data_format",
|
17 |
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|
18 |
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],
|
19 |
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"crop_size": {
|
20 |
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"height": 224,
|
21 |
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|
22 |
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},
|
23 |
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"do_center_crop": true,
|
24 |
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|
25 |
+
"do_normalize": true,
|
26 |
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"do_rescale": true,
|
27 |
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"do_resize": true,
|
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"image_mean": [
|
29 |
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|
30 |
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|
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|
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|
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"image_processor_type": "CLIPImageProcessor",
|
34 |
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"image_std": [
|
35 |
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|
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|
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|
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"shortest_edge": 224
|
43 |
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}
|
44 |
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}
|
learned_embeds-steps-1000.safetensors
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