Instructions to use unsloth/Qwen-Image-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use unsloth/Qwen-Image-2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("unsloth/Qwen-Image-2.1", 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: 370 Bytes
20f5a73 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_class_name": "QwenImage21Transformer2DModel",
"_diffusers_version": "0.37.0.dev0",
"attention_head_dim": 128,
"axes_dims_rope": [
16,
56,
56
],
"context_in_dim": 4096,
"in_channels": 64,
"num_attention_heads": 32,
"num_layers": 32,
"out_channels": 64,
"patch_size": 1,
"mlp_ratio": 3,
"eps": 1e-06,
"causal_condition": true
}
|