Instructions to use Viggle/Meridian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Viggle/Meridian with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Viggle/Meridian", 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
- longtake_edit
- longtake_showcase
- meridian_ballet_l150_female_reverse45
- meridian_ballet_t30_female_arc
- meridian_ballet_t30_male_lowarc
- meridian_longtake_l150_nba3_apex_right14_175
- meridian_longtake_t30_gymnast_pink_rise12
- meridian_longtake_t30_moto_dust_retreat25
- meridian_longtake_t30_powder_frontal_rise18
- meridian_material_l150_charge_event_return22
- meridian_motion_l150_moto_event_return30
- meridian_nba3_l150_air_left14
- meridian_nba3_l150_air_right14
- meridian_nba3_l150_moment38_left14
- meridian_nba3_l150_moment54_right14
- meridian_return_l150_berry_event22
- nba3_lora_editorial
- nba3_teacher30
- overnight
- research_examples_v1
- research_examples_v2
- return_showcase
- studio_walkthrough
- teacher_followups
- va_pi3_hi
- 27.8 kB
- 1.26 MB xet
- 10.8 MB xet
- 36.4 MB xet
- 36.2 MB xet
- 36.3 MB xet