Instructions to use optimum-intel-internal-testing/tiny-random-qwen-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/tiny-random-qwen-image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("optimum-intel-internal-testing/tiny-random-qwen-image", 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: 412 Bytes
ef73a0d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"_class_name": "QwenImageTransformer2DModel",
"_diffusers_version": "0.37.1",
"attention_head_dim": 16,
"axes_dims_rope": [
8,
4,
4
],
"guidance_embeds": false,
"in_channels": 16,
"joint_attention_dim": 16,
"num_attention_heads": 3,
"num_layers": 2,
"out_channels": 4,
"patch_size": 2,
"use_additional_t_cond": false,
"use_layer3d_rope": false,
"zero_cond_t": false
}
|