Text-to-Image
Diffusers
Safetensors
English
Kazakh
Lumina2Pipeline
Lumina2Pipeline
lumina
kazakh
central-asia
cultural-alignment
beynele
Instructions to use issai/Beynele with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use issai/Beynele with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("issai/Beynele", 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
| { | |
| "model_name": "Beynele", | |
| "family": "lumina", | |
| "base_pipeline": "Alpha-VLLM/Lumina-Image-2.0", | |
| "text_encoder": "google/gemma-2-2b", | |
| "source_checkpoint_backup": "hf_release/local_backups/model/checkpoints/consolidated_ema.00-of-01.pth", | |
| "diffusers_pipeline": "Lumina2Pipeline", | |
| "converted_transformer": "transformer", | |
| "torch_dtype": "bfloat16", | |
| "recommended_num_inference_steps": 40, | |
| "recommended_guidance_scale": 4.0, | |
| "recommended_seed": 42 | |
| } | |