Instructions to use azikimbowe/qwenglowra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use azikimbowe/qwenglowra with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("azikimbowe/qwenglowra", 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
- DAF-QI-full-v1_000001000
- DAF-QI-full-v1_000001000_fp8
- DAF-QI-full-v1_000002000
- DAF-QI-full-v1_000002000_bf16
- DAF-QI-full-v1_000002000_fp8
- DAF-QI-full-v1_000002000_fp8_merged
- DAF-QI-full-v1_000003500_bf16
- DAF-QI-full-v1_000003500_fp8_comfyorg_method
- DAF-QI-full-v1_000003500_fp8_merged
- DAF-QI-full-v1_000003500_fp8_mixed_correct
- DAF-QI-full-v1_000003500_fp8_mixed_v2
- DAF-QI-full-v1_000003500_fp8scaled_merged
- DAF-QI-full-v2-max-fidelity_000003000
- DAF-QI-full-v2-max-fidelity_000003500
- DAF-QI-full-v2-max-fidelity_000004000
- DAF-QI-full-v2-max-fidelity_000004500
- DAF-QI-full-v2-max-fidelity_000005000
- DAF-QI-full-v2-max-fidelity_000005500
- DAF-QI-full-v2-max-fidelity_000006000
- DAF-QI-full-v2-max-fidelity_000006000_fp8
- DAF-QI-full-v2-max-fidelity_000006500
- DAF-QI-full-v2-max-fidelity_000007000
- DAF-QI-full-v2-max-fidelity_000007000_fp8
- DAF-QI-full-v3-160img_000000500
- DAF-QI-full-v3-160img_000001250
- DAF-QI-full-v3-160img_000001750
- DAF-QI-full-v3-160img_000002000
- DAF-QI-full-v3-160img_000002000_fp8
- V4_000000500
- V4_000001000
- V4_000001500
- V4_000001500_fp8
- V4_000001500_nvfp4
- V5_000000250
- v2comfyorgmethod
- v4 1500 fixed
- 1.52 kB