Upload the concept lavko embeds and token
Browse files- README.md +15 -0
- config.json +32 -0
- learned_embeds.bin +3 -0
- model_index.json +32 -0
- token_identifier.txt +1 -0
- type_of_concept.txt +1 -0
README.md
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---
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license: mit
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---
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### lavko on Stable Diffusion
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This is the `<lavko>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) notebook. You can also train your own concepts and load them into the concept libraries using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_textual_inversion_training.ipynb).
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Here is the new concept you will be able to use as an `object`:
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config.json
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.3.0",
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"feature_extractor": [
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"transformers",
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"CLIPFeatureExtractor"
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],
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"safety_checker": [
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"stable_diffusion",
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"StableDiffusionSafetyChecker"
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],
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"scheduler": [
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"diffusers",
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"PNDMScheduler"
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],
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"text_encoder": [
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"transformers",
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"CLIPTextModel"
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],
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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],
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"unet": [
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"diffusers",
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"UNet2DConditionModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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}
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learned_embeds.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7edb49d1786a39cba6c61410361c09dafbd5d1cd47be7c73631a65e7cc5358ea
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size 3819
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model_index.json
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.3.0",
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"feature_extractor": [
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"transformers",
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"CLIPFeatureExtractor"
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],
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"safety_checker": [
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"stable_diffusion",
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"StableDiffusionSafetyChecker"
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],
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"scheduler": [
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"diffusers",
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"PNDMScheduler"
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],
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"text_encoder": [
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"transformers",
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"CLIPTextModel"
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],
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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],
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"unet": [
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"diffusers",
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"UNet2DConditionModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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}
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token_identifier.txt
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<lavko>
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type_of_concept.txt
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object
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