Instructions to use Laxhar/noobai-XL-Vpred-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Laxhar/noobai-XL-Vpred-experiments with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Laxhar/noobai-XL-Vpred-experiments", 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
Gated model You can list files but not access them
Preview of files found in this repository
- newtest
- sdxl_vpred_10a
- sdxl_vpred_13a
- sdxl_vpred_14a
- sdxl_vpred_14h
- sdxl_vpred_15h
- sdxl_vpred_15hr
- sdxl_vpred_17
- sdxl_vpred_19
- sdxl_vpred_1c
- sdxl_vpred_21
- sdxl_vpred_22
- sdxl_vpred_23
- sdxl_vpred_24
- sdxl_vpred_24r
- sdxl_vpred_24r2+28m.safetensors
- sdxl_vpred_24r2
- sdxl_vpred_25
- sdxl_vpred_26
- sdxl_vpred_27
- sdxl_vpred_28
- sdxl_vpred_28r
- sdxl_vpred_29
- sdxl_vpred_8a
- 1.52 kB
- 456 Bytes