Instructions to use Akiyue/awwl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akiyue/awwl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Akiyue/awwl", 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
Ctrl+K
- ablat_alpha05_a0.5_p2.0_db1
- ablat_alpha095_a0.95_p2.0_db1
- ablat_best_a0.8_p2.0_db1
- ablat_db4_a0.8_p2.0_db4
- ablat_power1_a0.8_p1.0_db1
- ablat_static_a0.8_p0.0_db1
- baseline_huber_a0.8_p2.0_db1
- baseline_l1_a0.8_p2.0_db1
- baseline_perceptual_a0.8_p2.0_db1
- baseline_snr_a0.8_p2.0_db1
- cifar10_train_ref
- data
- generated_images
- mse
- rescue_detail_a0.2_p1.0_db1
- rescue_gentle_a0.5_p0.5_db1
- rescue_static_opt_a0.3_p0.0_db1
- test_a0.2_p0.0_db1
- test_a0.2_p0.2_db1
- test_a0.2_p0.5_db1
- test_a0.2_p1.0_db4
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