Instructions to use paom/texture2albedo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use paom/texture2albedo 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.2-klein-4B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("paom/texture2albedo") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/_test2.jpeg
text: '-'
base_model: black-forest-labs/FLUX.2-klein-4B
instance_prompt: >-
Unlit flat-shaded albedo map. Remove all shadows, reflections, highlights, and
specularity. Maintain absolute pixel-per-pixel structural identity, shape, and
spatial alignment with the original image, displaying only raw base color.
license: apache-2.0
use this prompt:
Unlit flat-shaded albedo map. Remove all shadows, reflections, highlights, and specularity. Maintain absolute pixel-per-pixel structural identity, shape, and spatial alignment with the original image, displaying only raw base color.
texture2albedo

- Prompt
- -
Model description
this should remove harsh shadows from textures. works better with artificial sources of light.

Download model
Download them in the Files & versions tab.