Text-to-Image
Diffusers
Safetensors
QwenImagePipeline
nvidia
ModelOpt
AutoModel
qwen-image
dmd2
few-step
Instructions to use nvidia/Qwen-Image-Flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nvidia/Qwen-Image-Flash with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/Qwen-Image-Flash", torch_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: 371 Bytes
20fe4b8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"_class_name": "QwenImageTransformer2DModel",
"_diffusers_version": "0.34.0.dev0",
"attention_head_dim": 128,
"axes_dims_rope": [
16,
56,
56
],
"guidance_embeds": false,
"in_channels": 64,
"joint_attention_dim": 3584,
"num_attention_heads": 24,
"num_layers": 60,
"out_channels": 16,
"patch_size": 2,
"pooled_projection_dim": 768
}
|