Instructions to use DiffusersVersionsOfModels/auraflow-v0.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DiffusersVersionsOfModels/auraflow-v0.3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DiffusersVersionsOfModels/auraflow-v0.3", 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
File size: 379 Bytes
0f8ff24 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"_class_name": "AuraFlowTransformer2DModel",
"_diffusers_version": "0.31.0.dev0",
"attention_head_dim": 256,
"caption_projection_dim": 3072,
"in_channels": 4,
"joint_attention_dim": 2048,
"num_attention_heads": 12,
"num_mmdit_layers": 4,
"num_single_dit_layers": 32,
"out_channels": 4,
"patch_size": 2,
"pos_embed_max_size": 9216,
"sample_size": 64
}
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