Instructions to use stilletto/AlbedoBaseXLv2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stilletto/AlbedoBaseXLv2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stilletto/AlbedoBaseXLv2.0", 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
From Civitai
AlbedoBase XL v2.0 The refiner is unnecessary, and VAE is included. Leaving the negative prompt empty generally brings about the best quality. As of now, AlbedoBase XL v1.3 has merged exactly 141 selected checkpoints and 251 LoRAs.
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