End of training
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- .gitattributes +180 -0
- README.md +43 -0
- checkpoint-100/A__in_Van_Gogh_style-100.png +3 -0
- checkpoint-100/A__in_the_Grand_Canyon-100.png +3 -0
- checkpoint-100/A__on_a_beach-100.png +3 -0
- checkpoint-100/A_photo_of_a_-100.png +3 -0
- checkpoint-100/A_purple_-100.png +3 -0
- checkpoint-100/_seen_from_the_side-100.png +3 -0
- checkpoint-100/learned_embeds-steps-100.safetensors +3 -0
- checkpoint-100/model.safetensors +3 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scheduler.bin +3 -0
- checkpoint-1000/A__in_Van_Gogh_style-1000.png +3 -0
- checkpoint-1000/A__in_the_Grand_Canyon-1000.png +3 -0
- checkpoint-1000/A__on_a_beach-1000.png +3 -0
- checkpoint-1000/A_photo_of_a_-1000.png +3 -0
- checkpoint-1000/A_purple_-1000.png +3 -0
- checkpoint-1000/_seen_from_the_side-1000.png +3 -0
- checkpoint-1000/learned_embeds-steps-1000.safetensors +3 -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-1100/A__in_Van_Gogh_style-1100.png +3 -0
- checkpoint-1100/A__in_the_Grand_Canyon-1100.png +3 -0
- checkpoint-1100/A__on_a_beach-1100.png +3 -0
- checkpoint-1100/A_photo_of_a_-1100.png +3 -0
- checkpoint-1100/A_purple_-1100.png +3 -0
- checkpoint-1100/_seen_from_the_side-1100.png +3 -0
- checkpoint-1100/learned_embeds-steps-1100.safetensors +3 -0
- checkpoint-1100/model.safetensors +3 -0
- checkpoint-1100/optimizer.bin +3 -0
- checkpoint-1100/random_states_0.pkl +3 -0
- checkpoint-1100/scheduler.bin +3 -0
- checkpoint-1200/A__in_Van_Gogh_style-1200.png +3 -0
- checkpoint-1200/A__in_the_Grand_Canyon-1200.png +3 -0
- checkpoint-1200/A__on_a_beach-1200.png +3 -0
- checkpoint-1200/A_photo_of_a_-1200.png +3 -0
- checkpoint-1200/A_purple_-1200.png +3 -0
- checkpoint-1200/_seen_from_the_side-1200.png +3 -0
- checkpoint-1200/learned_embeds-steps-1200.safetensors +3 -0
- checkpoint-1200/model.safetensors +3 -0
- checkpoint-1200/optimizer.bin +3 -0
- checkpoint-1200/random_states_0.pkl +3 -0
- checkpoint-1200/scheduler.bin +3 -0
- checkpoint-1300/A__in_Van_Gogh_style-1300.png +3 -0
- checkpoint-1300/A__in_the_Grand_Canyon-1300.png +3 -0
- checkpoint-1300/A__on_a_beach-1300.png +3 -0
- checkpoint-1300/A_photo_of_a_-1300.png +3 -0
.gitattributes
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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 - Minseo-Kimm/ti_clock_init_clock
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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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+

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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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+
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[TODO: provide examples of latent issues and potential remediations]
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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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