Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
art
image-generation
abstract-art
stable-diffusion
Instructions to use cz9dev/herminia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cz9dev/herminia with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cz9dev/herminia", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from cz9dev/herminia: direct link, hf CLI and curl.
- Browser
- Download file 1.16 kB
-
https://huggingface.co/cz9dev/herminia/resolve/main/README.md
- Command line
-
hf download hf://cz9dev/herminia/README.md
-
curl -L -o README.md https://huggingface.co/cz9dev/herminia/resolve/main/README.md
1.16 kB
metadata
tags:
- art
- image-generation
- abstract-art
- stable-diffusion
license: mit
library_name: diffusers
pipeline_tag: text-to-image
base_model: stabilityai/stable-diffusion-v1-5
Herminia, modelo de generación de imágenes
Modelo herminia creado a partir de Stable Diffusion para generar imágenes a partir de texto.
Uso con GPU
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
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"
"Un dibujo abstracto de la bandera cubana"
Licencia
MIT