Instructions to use makriot/flux-calibri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use makriot/flux-calibri with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("makriot/flux-calibri", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Calibri Flux
To run the model:
import torch
from diffusers import DiffusionPipeline
device = "cuda" if torch.cuda.is_available() else "cpu"
dtype = torch.bfloat16
model_path = "makriot/flux-calibri"
pipeline = DiffusionPipeline.from_pretrained(
model_path,
torch_dtype=dtype
).to(device)
prompts = [
"a futuristic city at sunset",
"a cute robot playing guitar"
]
images = pipeline(
prompts,
num_inference_steps=15,
guidance_scale=3.5,
height=1024,
width=1024,
).images
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