Instructions to use paom/texture2albedo-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use paom/texture2albedo-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("paom/texture2albedo-v2") 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. " input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
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#1 opened 4 days ago
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danioan