Instructions to use AlekseyCalvin/Flux2_Turbo_LoRA_Rank4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/Flux2_Turbo_LoRA_Rank4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/FLUX.2-dev-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/Flux2_Turbo_LoRA_Rank4") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("fal/FLUX.2-dev-Turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("AlekseyCalvin/Flux2_Turbo_LoRA_Rank4")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]A compressed Comfy v2 version of the Turbo LoRA for FLUX2, resized with the Soon Merger space
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