Instructions to use SceneWorks/bernini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SceneWorks/bernini with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SceneWorks/bernini", 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
File size: 487 Bytes
3544674 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"num_mask_token": 4096,
"max_sequence_length": 512,
"clip_diff_cfg": {
"model_type": "flow_match",
"z_channels": 3584,
"target_channels": 3584,
"width": 4096,
"diffusion_batch_mul": 16,
"shift": 2.0
},
"connector_cfg": {
"model_type": "MLPConnector",
"out_dim_for_gen": 4096,
"enable_gen_branch": true,
"out_dim_for_vit": 3584,
"enable_vit_branch": true,
"gen_head_type": "zerolinear",
"zero_init_proj_gen_last": true
}
} |