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
Download transformer/config.json from DiffusersVersionsOfModels/auraflow-v0.3: direct link, hf CLI and curl.
- Browser
- Download file 379 Bytes
-
https://huggingface.co/DiffusersVersionsOfModels/auraflow-v0.3/resolve/main/transformer/config.json
- Command line
-
hf download hf://DiffusersVersionsOfModels/auraflow-v0.3/transformer/config.json
-
curl -L -o config.json https://huggingface.co/DiffusersVersionsOfModels/auraflow-v0.3/resolve/main/transformer/config.json
379 Bytes
| { | |
| "_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 | |
| } | |