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
#1
by fffiloni - opened
Generated example for model fffiloni/oniric-750.
Prompt: illustration of a castle with stairs leading up to it, illuminated by lights and surrounded by rocks. The sky is filled with stars, creating a magical atmosphere. in the style of TOK
fffiloni changed pull request status to merged