Instructions to use lahcobe7/Ivocobe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lahcobe7/Ivocobe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lahcobe7/Ivocobe") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Jiali/stable-diffusion-1.5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("lahcobe7/Ivocobe")
prompt = "-"
image = pipe(prompt).images[0]Cyberfunk ivo

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Model description
masterpiece, best quality, ultra-realistic photo of a (young Asian woman), studio lighting, Sony A7R IV, f/1.4 aperture, 50mm lens, soft light, detailed skin texture, natural look, 8K resolution, cinematic atmosphere
Trigger words
You should use 1boy to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for lahcobe7/Ivocobe
Base model
Jiali/stable-diffusion-1.5