Instructions to use hf-internal-testing/tiny-qwenimage-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-qwenimage-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-qwenimage-pipe", 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
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "AutoencoderKLQwenImage", | |
| "_diffusers_version": "0.35.0.dev0", | |
| "attn_scales": [], | |
| "base_dim": 24, | |
| "dim_mult": [ | |
| 1, | |
| 2, | |
| 4 | |
| ], | |
| "dropout": 0.0, | |
| "latents_mean": [ | |
| 0.0, | |
| 0.0, | |
| 0.0, | |
| 0.0 | |
| ], | |
| "latents_std": [ | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ], | |
| "num_res_blocks": 1, | |
| "temperal_downsample": [ | |
| false, | |
| true | |
| ], | |
| "z_dim": 4 | |
| } | |