Subiendo archivos al repositorio

.gitignore

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+# Hugging Face specific
+*.log
+runs/
+*.pt
+*.bin
+model/
+training_args.bin
+
+# Python
+*.pyc
+__pycache__/
+.pytest_cache/
+.ipynb_checkpoints/
+
+# Jupyter Notebook
+*.ipynb
+
+# Dataset caches
+cache/
+data/
+
+# Checkpoints (potentially large)
+checkpoints/
+
+# Temporary files
+tmp/
+*.tmp
+
+# Other artifacts
+*.json
+*.yaml
+*.yml
+
+# Algo mas
+.venv/
+prueba/

LICENSE

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+MIT License
+
+Copyright (c) [2025] [cz9dev]
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# Herminia, modelo de generación de imágenes
+
+Modelo herminia creado a partir de Stable Diffusion para generar imágenes a partir de texto.
+
+## Uso con GPU
+
+```python
+from diffusers import StableDiffusionPipeline
+
+pipe = StableDiffusionPipeline.from_pretrained("cz9dev/herminia", torch_dtype=torch.float16)
+pipe.to("cuda")
+
+image = pipe("Un astronauta montando un unicornio").images[0]
+image.save("astronauta.png")
+```
+
+## Uso con CPU
+
+```python
+from diffusers import StableDiffusionPipeline
+
+pipe = StableDiffusionPipeline.from_pretrained("cz9dev/herminia", torch_dtype=torch.float32)
+pipe.to("cpu")
+
+image = pipe("Arte fantástico con criaturas mitológicas").images[0]
+image.save("astronauta.png")
+```
+
+## Ejemplos de imágenes generadas
+
+!["Paisaje futurista de la tierra"](img/paisaje_futurista.png) "Paisaje futurista de la tierra"
+
+!["Un dibujo abstracto de la bandera cubana"](img/bandera_abstracta.png) "Un dibujo abstracto de la bandera cubana"

safety_checker/model.safetensors

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text_encoder/model.safetensors

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unet/diffusion_pytorch_model.safetensors

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vae/diffusion_pytorch_model.safetensors

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