Instructions to use Huelake/F-Lite-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Huelake/F-Lite-7B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Huelake/F-Lite-7B", 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
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "DiT", | |
| "_diffusers_version": "0.33.1", | |
| "cross_attn_input_size": 4096, | |
| "depth": 28, | |
| "dynamic_softmax_temperature": false, | |
| "gradient_checkpoint": false, | |
| "hidden_size": 3072, | |
| "in_channels": 16, | |
| "mlp_ratio": 4.0, | |
| "num_heads": 12, | |
| "patch_size": 2, | |
| "residual_v": true, | |
| "rope_base": 10000, | |
| "train_bias_and_rms": false, | |
| "use_rope": true | |
| } | |