Instructions to use aixonlab/flux.1-lumiere-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aixonlab/flux.1-lumiere-alpha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aixonlab/flux.1-lumiere-alpha", 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 Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("aixonlab/flux.1-lumiere-alpha", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Lumiere Alpha
We are excited to announce Lumiere Alpha, A model focusing on improving realism without compromising prompt coherency or changing the composition completely from the original Flux.1-Dev model.
Text-to-Image
For the best results, we strongly recommend using a guidance scale of 3.0 and setting steps between 28 and 35, with Euler Beta.
We've also crafted a ComfyUI workflow to make using Lumiere Alpha even more seamless! Find it in comfy/lumiere_alpha_workflow.json.
Attribution notice
The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
Our model is released under the FLUX.1 [dev] Non-Commercial License.
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Model tree for aixonlab/flux.1-lumiere-alpha
Base model
black-forest-labs/FLUX.1-dev

