Instructions to use ToniRuiz/oldbookillustrations-sd14-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ToniRuiz/oldbookillustrations-sd14-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ToniRuiz/oldbookillustrations-sd14-lora") 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
LoRA de ilustraciones de libros antiguos
Adaptador LoRA entrenado sobre gigant/oldbookillustrations con 1600px como imagen e info_alt como descripción.
Uso
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", torch_dtype=torch.float16).to("cuda")
pipe.load_lora_weights("ToniRuiz/oldbookillustrations-sd14-lora")
image = pipe("An intricate nineteenth-century book illustration of a lunar observatory, wood engraving, detailed linework").images[0]
Parámetros
- Resolution: 512
- Samples: 256
- Epochs: 1
- LoRA rank: 8
- Learning rate: 0.0001
- Seed: 2026
Limitaciones
Los resultados dependen del modelo base y del prompt; pueden aparecer sesgos o artefactos presentes en material histórico.
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Model tree for ToniRuiz/oldbookillustrations-sd14-lora
Base model
CompVis/stable-diffusion-v1-4