Instructions to use hf-internal-testing/tiny-qwenimage21-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-qwenimage21-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-qwenimage21-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
Download vae/config.json from hf-internal-testing/tiny-qwenimage21-pipe: direct link, hf CLI and curl.
- Browser
- Download file 813 Bytes
-
https://huggingface.co/hf-internal-testing/tiny-qwenimage21-pipe/resolve/main/vae/config.json
- Command line
-
hf download hf://hf-internal-testing/tiny-qwenimage21-pipe/vae/config.json
-
curl -L -o config.json https://huggingface.co/hf-internal-testing/tiny-qwenimage21-pipe/resolve/main/vae/config.json
813 Bytes
| { | |
| "_class_name": "AutoencoderKLQwenImage21", | |
| "_diffusers_version": "0.41.0.dev0", | |
| "attn_scales": [], | |
| "base_dim": 8, | |
| "decoder_base_dim": 8, | |
| "dim_mult": [ | |
| 1, | |
| 1, | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| "dropout": 0.0, | |
| "in_channels": 4, | |
| "is_residual": true, | |
| "latents_mean": [ | |
| 0.0, | |
| 0.0, | |
| 0.0, | |
| 0.0, | |
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| 0.0 | |
| ], | |
| "latents_std": [ | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
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| ], | |
| "num_res_blocks": 1, | |
| "out_channels": 4, | |
| "patch_size": null, | |
| "scale_factor_spatial": 8, | |
| "scale_factor_temporal": 8, | |
| "temperal_downsample": [ | |
| false, | |
| true, | |
| true, | |
| true | |
| ], | |
| "z_dim": 16 | |
| } | |