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| "model_id": "fofr/sdxl-emoji", |
| "gated": "False", |
| "card": "---\nlicense: creativeml-openrail-m\ntags:\n - text-to-image\n - stable-diffusion\n - lora\n - diffusers\nbase_model: stabilityai/stable-diffusion-xl-base-1.0\npivotal_tuning: true\ntextual_embeddings: embeddings.pti\ninstance_prompt: an <s0><s1> emoji\ninference: false\n---\n# sdxl-emoji LoRA by [fofr](https://replicate.com/fofr)\n### An SDXL fine-tune based on Apple Emojis\n\n\n>\n\n## Inference with Replicate API\nGrab your replicate token [here](https://replicate.com/account)\n```bash\npip install replicate\nexport REPLICATE_API_TOKEN=r8_*************************************\n```\n\n```py\nimport replicate\n\noutput = replicate.run(\n \"sdxl-emoji@sha256:dee76b5afde21b0f01ed7925f0665b7e879c50ee718c5f78a9d38e04d523cc5e\",\n input={\"prompt\": \"A TOK emoji of a man\"}\n)\nprint(output)\n```\nYou may also do inference via the API with Node.js or curl, and locally with COG and Docker, [check out the Replicate API page for this model](https://replicate.com/fofr/sdxl-emoji/api)\n\n## Inference with \ud83e\udde8 diffusers\nReplicate SDXL LoRAs are trained with Pivotal Tuning, which combines training a concept via Dreambooth LoRA with training a new token with Textual Inversion.\nAs `diffusers` doesn't yet support textual inversion for SDXL, we will use cog-sdxl `TokenEmbeddingsHandler` class.\n\nThe trigger tokens for your prompt will be `<s0><s1>`\n\n```shell\npip install diffusers transformers accelerate safetensors huggingface_hub\ngit clone https://github.com/replicate/cog-sdxl cog_sdxl\n```\n\n```py\nimport torch\nfrom huggingface_hub import hf_hub_download\nfrom diffusers import DiffusionPipeline\nfrom cog_sdxl.dataset_and_utils import TokenEmbeddingsHandler\nfrom diffusers.models import AutoencoderKL\n\npipe = DiffusionPipeline.from_pretrained(\n \"stabilityai/stable-diffusion-xl-base-1.0\",\n torch_dtype=torch.float16,\n variant=\"fp16\",\n).to(\"cuda\")\n\npipe.load_lora_weights(\"fofr/sdxl-emoji\", weight_name=\"lora.safetensors\")\n\ntext_encoders = [pipe.text_encoder, pipe.text_encoder_2]\ntokenizers = [pipe.tokenizer, pipe.tokenizer_2]\n\nembedding_path = hf_hub_download(repo_id=\"fofr/sdxl-emoji\", filename=\"embeddings.pti\", repo_type=\"model\")\nembhandler = TokenEmbeddingsHandler(text_encoders, tokenizers)\nembhandler.load_embeddings(embedding_path)\nprompt=\"A <s0><s1> emoji of a man\"\nimages = pipe(\n prompt,\n cross_attention_kwargs={\"scale\": 0.8},\n).images\n#your output image\nimages[0]\n```\n", |
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| "personal1802/vauxzAnimeMerge_ponyVXayah", |
| "personal1802/anitoonPonyXL_v20", |
| "piiiiisan/jkllxkll", |
| "mlsnr/glxyfrst" |
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| "base_model": "fofr/sdxl-emoji", |
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| { |
| "model_id": "personal1802/vauxzAnimeMerge_ponyVXayah", |
| "gated": "False", |
| "card": "---\ntags:\n - text-to-image\n - lora\n - diffusers\n - template:diffusion-lora\nwidget:\n- text: '-'\n output:\n url: images/WHITE.png\nbase_model: fofr/sdxl-emoji\ninstance_prompt: null\n\n---\n# vauxzAnimeMerge_ponyVXayah\n\n<Gallery />\n\n\n\n## Download model\n\nWeights for this model are available in Safetensors format.\n\n[Download](/personal1802/vauxzAnimeMerge_ponyVXayah/tree/main) them in the Files & versions tab.\n", |
| "metadata": "\"N/A\"", |
| "depth": 1, |
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| "base_model": "personal1802/vauxzAnimeMerge_ponyVXayah", |
| "base_model_relation": "base" |
| }, |
| { |
| "model_id": "personal1802/anitoonPonyXL_v20", |
| "gated": "False", |
| "card": "---\ntags:\n - text-to-image\n - lora\n - diffusers\n - template:diffusion-lora\nwidget:\n- text: '-'\n output:\n url: images/WHITE.png\nbase_model: fofr/sdxl-emoji\ninstance_prompt: null\n\n---\n# anitoonPonyXL_v20\n\n<Gallery />\n\n\n\n## Download model\n\nWeights for this model are available in Safetensors format.\n\n[Download](/personal1802/anitoonPonyXL_v20/tree/main) them in the Files & versions tab.\n", |
| "metadata": "\"N/A\"", |
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| "base_model": "personal1802/anitoonPonyXL_v20", |
| "base_model_relation": "base" |
| }, |
| { |
| "model_id": "piiiiisan/jkllxkll", |
| "gated": "False", |
| "card": "---\ntags:\n- text-to-image\n- lora\n- diffusers\n- template:diffusion-lora\nwidget:\n- text: >-\n 1girl, solo,(best quality),(masterpiece:1.1), dynamic angle, upper body,\n looking_at_viewer, small breast, cute, clear facial skin,\n parameters:\n negative_prompt: >-\n EasyNegative, paintings, sketches, (worst quality:2), (low quality:2),\n (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)),\n skin spots, acnes, skin blemishes, age spot, glans,extra fingers,fewer\n fingers,, paintings, sketches, (worst quality:2), (low quality:2), (normal\n quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin\n spots, acnes, skin blemishes, age spot, glans, (only body)\n output:\n url: images/00038-150706439.jpeg.png\nbase_model: fofr/sdxl-emoji\ninstance_prompt: seeds\nlicense: apache-2.0\n---\n# sodsxxxx\n\n<Gallery />\n\n## Model description \n\nsdsdsd\n\n## Trigger words\n\nYou should use `seeds` to trigger the image generation.\n\n\n## Download model\n\nWeights for this model are available in Safetensors format.\n\n[Download](/piiiiisan/jkllxkll/tree/main) them in the Files & versions tab.\n", |
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| "base_model": "piiiiisan/jkllxkll", |
| "base_model_relation": "base" |
| }, |
| { |
| "model_id": "mlsnr/glxyfrst", |
| "gated": "unknown", |
| "card": "---\ntags:\n- text-to-image\n- lora\n- diffusers\n- template:diffusion-lora\nwidget:\n- text: '-'\n output:\n url: images/2024-03-23_11-29-38_5464.jpeg\nbase_model: fofr/sdxl-emoji\ninstance_prompt: glxyfrst\nlicense: unknown\n---\n# glxyfrst\n\n<Gallery />\n\n\n## Trigger words\n\nYou should use `glxyfrst` to trigger the image generation.\n\n\n## Download model\n\nWeights for this model are available in Safetensors format.\n\n[Download](/mlsnr/glxyfrst/tree/main) them in the Files & versions tab.\n", |
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| "base_model": null, |
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