Instructions to use barisdeger/barispixar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use barisdeger/barispixar 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("barisdeger/barispixar") prompt = "<lora:sophie-molgrin-v5-flux_rank16_bf16:0.75> sophie-molgrin enjoys a quiet morning at a cozy café, sipping a steaming cup of coffee. She is dressed in comfortable, casual attire, with a warm sweater and jeans. The café is filled with natural light from large windows, and the wooden furnishings create a welcoming atmosphere. Her relaxed expression reflects the peaceful start to her day, captured in photorealistic detail." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
pixarcinematic

- Prompt
- <lora:sophie-molgrin-v5-flux_rank16_bf16:0.75> sophie-molgrin enjoys a quiet morning at a cozy café, sipping a steaming cup of coffee. She is dressed in comfortable, casual attire, with a warm sweater and jeans. The café is filled with natural light from large windows, and the wooden furnishings create a welcoming atmosphere. Her relaxed expression reflects the peaceful start to her day, captured in photorealistic detail.
Download model
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Model tree for barisdeger/barispixar
Base model
black-forest-labs/FLUX.1-dev