Instructions to use oria12/realistic-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oria12/realistic-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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("oria12/realistic-lora") prompt = "A person in a bustling cafe Alina" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
realistic-lora
Model trained with AI Toolkit by Ostris

- Prompt
- A person in a bustling cafe Alina

- Prompt
- beautiy photo of Alina, wearing floral dress and sitting in cafe
Trigger words
You should use Alina to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('oria12/realistic-lora', weight_name='realistic-lora.safetensors')
image = pipeline('A person in a bustling cafe Alina').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
- Downloads last month
- 254
Model tree for oria12/realistic-lora
Base model
black-forest-labs/FLUX.1-dev