End of training
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- README.md +5 -17
- feature_extractor/preprocessor_config.json +44 -0
- learned_embeds-steps-100.safetensors +3 -0
- learned_embeds-steps-1000.safetensors +3 -0
- learned_embeds-steps-1050.safetensors +3 -0
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README.md
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---
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license: creativeml-openrail-m
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base_model:
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instance_prompt: photo of a <v1*> person
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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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-
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- text-to-image
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- diffusers-training
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- diffusers
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- lora
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- template:sd-lora
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- sd3
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- sd3-diffusers
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inference: true
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library_name: diffusers
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---
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#
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These are Custom Diffusion adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on photo of a <v1*> person using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion).
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---
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license: creativeml-openrail-m
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base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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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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inference: true
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---
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# Textual inversion text2image fine-tuning - SidXXD/f-65
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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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feature_extractor/preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"do_resize",
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"size",
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"resample",
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"do_center_crop",
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"crop_size",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"do_convert_rgb",
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"return_tensors",
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"data_format",
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"input_data_format"
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],
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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