Instructions to use fffiloni/oniric-750 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fffiloni/oniric-750 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("fffiloni/oniric-750") prompt = "illustration of a white deer with antlers standing in the middle of a forest. in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#2
by fffiloni - opened
Generated example for model fffiloni/oniric-750.
Prompt: an hourglass sitting atop a rock in the middle of a night sky, with a crescent moon in the background and stars twinkling in the darkness. The hourglass is filled with sand, symbolizing the passage of time. in the style of TOK
fffiloni changed pull request status to merged