Instructions to use SceneWorks/sd3.5-large-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SceneWorks/sd3.5-large-mlx 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/sd3.5-large-mlx", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - MLX
How to use SceneWorks/sd3.5-large-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir sd3.5-large-mlx SceneWorks/sd3.5-large-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Draw Things
- DiffusionBee
File size: 457 Bytes
5f7f82c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_class_name": "SD3Transformer2DModel",
"_diffusers_version": "0.31.0.dev0",
"attention_head_dim": 64,
"caption_projection_dim": 2432,
"in_channels": 16,
"joint_attention_dim": 4096,
"num_attention_heads": 38,
"num_layers": 38,
"out_channels": 16,
"patch_size": 2,
"pooled_projection_dim": 2048,
"pos_embed_max_size": 192,
"qk_norm": "rms_norm",
"sample_size": 128,
"quantization": {
"bits": 4,
"group_size": 64
}
} |