Gustavosta
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Update model
Browse files- README.md +25 -3
- config.json +4 -6
- pytorch_model.bin +2 -2
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
README.md
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# MagicPrompt - Stable Diffusion
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This is a model from the MagicPrompt series of models, which are [GPT-2](https://huggingface.co/gpt2) models intended to generate prompt texts for imaging AIs, in this case: [Stable Diffusion](https://huggingface.co/CompVis/stable-diffusion).
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## 🖼️ Here's an example:
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<img src="https://files.catbox.moe/ac3jq7.png">
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This model was trained with 150,000 steps and a set of about 80,000 data filtered and extracted from the image finder for Stable Diffusion: "[Lexica.art](https://lexica.art/)". It was a little difficult to extract the data, since the search engine still doesn't have a public API without being protected by cloudflare, but if you want to take a look at the original dataset, you can have a look here: [Gustavosta/MagicPrompt-Dalle](https://huggingface.co/Gustavosta/MagicPrompt-Dalle).
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If you want to test the model with a demo, you can go to: "[Gustavosta/spaces/MagicPrompt-Dalle](https://huggingface.co/Gustavosta/spaces/MagicPrompt-Stable_diffusion)".
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## 💻 You can see other MagicPrompt models:
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- For Dall-E 2: [Gustavosta/MagicPrompt-Dalle](https://huggingface.co/Gustavosta/MagicPrompt-Dalle)
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- For Midjourney: [Gustavosta/MagicPrompt-Midourney](https://huggingface.co/Gustavosta/MagicPrompt-Midjourney)
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- MagicPrompt full: [Gustavosta/MagicPrompt](https://huggingface.co/Gustavosta/MagicPrompt)
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## ⚖️ Licence:
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[MIT](https://huggingface.co/models?license=license:mit)
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When using this model, please credit: [Gustavosta](https://huggingface.co/Gustavosta)
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**Thanks for reading this far! :)**
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config.json
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{
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"_name_or_path": "gpt2
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd":
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"n_head":
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"n_inner": null,
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"n_layer":
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"n_positions": 1024,
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"n_special": 0,
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"predict_special_tokens": true,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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{
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"_name_or_path": "gpt2",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 1024,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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pytorch_model.bin
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tokenizer_config.json
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"name_or_path": "gpt2
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"special_tokens_map_file": null,
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"name_or_path": "gpt2",
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"special_tokens_map_file": null,
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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training_args.bin
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