Commit
•
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Parent(s):
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con fe si se sube todo y sale bien :)
Browse files- README.md +77 -0
- feature_extractor/preprocessor_config.json +28 -0
- image.png +0 -0
- model_index.json +34 -0
- safety_checker/config.json +28 -0
- safety_checker/model.fp16.safetensors +3 -0
- safety_checker/model.safetensors +3 -0
- scheduler/scheduler_config.json +23 -0
- text_encoder/config.json +25 -0
- text_encoder/model.fp16.safetensors +3 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +33 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +66 -0
- unet/diffusion_pytorch_model.fp16.safetensors +3 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +32 -0
- vae/diffusion_pytorch_model.fp16.safetensors +3 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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language:
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- en
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license: creativeml-openrail-m
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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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- art
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- artistic
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- diffusers
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- fruits
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duplicated_from: lykon/dreamshaper-7
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---
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# Epic Fruit Fusion
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`JairoDanielMT/EpicFruitFusion` es un modelo de Difusión Estable que ha sido afinado en [runwayml/stable-diffusion-v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5).
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Por favor considera apoyarme:
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- en [TensorART](https://tensor.art/models/654721881410227674)
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## Difusores
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Para obtener información más general sobre cómo ejecutar modelos de texto a imagen con 🧨 Difusores, consulta [la documentación](https://huggingface.co/docs/diffusers/using-diffusers/conditional_image_generation).
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1. Instalación
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```
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pip install diffusers transformers accelerate
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```
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2. Ejecución
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```py
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from diffusers import AutoPipelineForText2Image, DEISMultistepScheduler
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import torch
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pipe = AutoPipelineForText2Image.from_pretrained('JairoDanielMT/EpicFruitFusion', torch_dtype=torch.float16, variant="fp16")
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pipe.scheduler = DEISMultistepScheduler.from_config(pipe.scheduler.config)
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pipe = pipe.to("cuda")
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prompt = "portrait photo of muscular bearded guy in a worn mech suit, light bokeh, intricate, steel metal, elegant, sharp focus, soft lighting, vibrant colors"
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generator = torch.manual_seed(33)
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image = pipe(prompt, generator=generator, num_inference_steps=25).images[0]
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image.save("./image.png")
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```
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![](./image.png)
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## Notes
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El modelo que generas frutas realistas con pocos comandos es una combinación de los modelos Epic Realism y Fruit Fusion. Este modelo es más ligero que los modelos individuales, lo que lo hace más rápido y eficiente. El modelo es capaz de generar una amplia variedad de frutas realistas, desde manzanas y naranjas hasta frutas más exóticas como mangostanes y durianes.
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Para generar una fruta con este modelo, solo necesitas darle unos pocos comandos. Por ejemplo, para generar una manzana, podrías escribir algo como "manzana roja brillante" o "manzana verde con hojas". El modelo también puede generar frutas con diferentes texturas, como manzanas blandas o duras, o mangos maduros o verdes.
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Este modelo es una herramienta poderosa para artistas digitales y diseñadores gráficos. Puede utilizarse para crear imágenes realistas de frutas para publicidad, embalaje de alimentos o incluso videojuegos. También es una gran herramienta para aprender sobre diferentes tipos de frutas y sus características.
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Aquí hay algunos ejemplos de comandos que puedes usar para generar frutas realistas con este modelo:
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* manzana roja brillante
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* manzana verde con hojas
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* mango maduro
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* mango verde
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* piña con cáscara
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* piña sin cáscara
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* plátano con piel
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* plátano sin piel
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* naranja con hojas
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* naranja sin hojas
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* limón con hojas
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* limón sin hojas
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* uva morada
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* uva verde
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Puedes experimentar con diferentes comandos para ver qué tipo de resultados obtienes. También puedes combinar comandos para crear frutas híbridas, como una manzana de mango o una piña de plátano, intenta alocarte con las combinaciones para hacer distintos tipos de combinaciones.
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Comentario adicional: Siempre dale una superficie donde pueda estar, ejemplo: En la mesa de la cocina, en el barandal de una azotea o no se depende de tu imaginación. A y por cierto la parte de la descripción lo hice con Google Bard XD no sabía qué poner en la descripción, bueno adiós y buena suerte usando el modelo :)
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feature_extractor/preprocessor_config.json
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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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"feature_extractor_type": "CLIPFeatureExtractor",
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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": "CLIPFeatureExtractor",
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"image_std": [
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0.26862954,
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0.26130258,
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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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image.png
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model_index.json
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.21.0.dev0",
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"_name_or_path": "JairoDanielMT/EpicFruitFusion",
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"feature_extractor": [
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"transformers",
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"CLIPFeatureExtractor"
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],
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"requires_safety_checker": true,
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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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"DEISMultistepScheduler"
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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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safety_checker/config.json
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{
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"_name_or_path": "/home/patrick/.cache/huggingface/hub/models--lykon-models--dreamshaper-7/snapshots/c4c9f9bec821e1862a78cbf45685cfb35b93638d/safety_checker",
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"architectures": [
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"StableDiffusionSafetyChecker"
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],
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"initializer_factor": 1.0,
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"logit_scale_init_value": 2.6592,
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"model_type": "clip",
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"projection_dim": 768,
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"text_config": {
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"dropout": 0.0,
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"hidden_size": 768,
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"intermediate_size": 3072,
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"model_type": "clip_text_model",
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"num_attention_heads": 12
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},
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"torch_dtype": "float16",
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"transformers_version": "4.33.0.dev0",
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"vision_config": {
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"dropout": 0.0,
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"hidden_size": 1024,
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"intermediate_size": 4096,
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"model_type": "clip_vision_model",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"patch_size": 14
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}
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}
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safety_checker/model.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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safety_checker/model.safetensors
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version https://git-lfs.github.com/spec/v1
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scheduler/scheduler_config.json
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{
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"_class_name": "DEISMultistepScheduler",
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"_diffusers_version": "0.21.0.dev0",
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"algorithm_type": "deis",
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"solver_order": 2,
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}
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text_encoder/config.json
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{
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"_name_or_path": "/home/patrick/.cache/huggingface/hub/models--lykon-models--dreamshaper-7/snapshots/c4c9f9bec821e1862a78cbf45685cfb35b93638d/text_encoder",
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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}
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text_encoder/model.fp16.safetensors
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text_encoder/model.safetensors
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tokenizer/merges.txt
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See raw diff
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tokenizer/special_tokens_map.json
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}
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}
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tokenizer/tokenizer_config.json
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{
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unet/config.json
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