Instructions to use prithivMLmods/Flux-Toonic-2.5D-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Flux-Toonic-2.5D-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("prithivMLmods/Flux-Toonic-2.5D-LoRA") prompt = "toonic 2.5D, Captured from a low-angle perspective on a vibrant yellow backdrop, a cartoon boy is depicted in a cartoon-like fashion. He is wearing a yellow shirt, blue pants, and white shoes. His arms are outstretched, and his mouth is slightly open, as if he is screaming. His eyes are squinted, and he has brown hair, and a black mustache. His hair is cut in a bob, adding a pop of color to the scene." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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