Instructions to use matt3ounstable/albedobaseXL_v31Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use matt3ounstable/albedobaseXL_v31Large with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("matt3ounstable/albedobaseXL_v31Large", 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("matt3ounstable/albedobaseXL_v31Large", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]AlbedoBase XL model in diffusers format, only available in fp16.
Original license CreativeML Open RAIL++-M Addendum
All credits to albedobond, if you like the model consider supporting their work.
This is just a convenience repository for ease of use with diffusers.
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