Instructions to use OzzyGT/ming_image_0_1_design_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/ming_image_0_1_design_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/ming_image_0_1_design_diffusers", 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
Download vae/config.json from OzzyGT/ming_image_0_1_design_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 411 Bytes
-
https://huggingface.co/OzzyGT/ming_image_0_1_design_diffusers/resolve/main/vae/config.json
- Command line
-
hf download hf://OzzyGT/ming_image_0_1_design_diffusers/vae/config.json
-
curl -L -o config.json https://huggingface.co/OzzyGT/ming_image_0_1_design_diffusers/resolve/main/vae/config.json
411 Bytes
| { | |
| "_class_name": "AutoencoderKLQwenImage", | |
| "_diffusers_version": "0.36.0.dev0", | |
| "attn_scales": [], | |
| "base_dim": 96, | |
| "dim_mult": [ | |
| 1, | |
| 2, | |
| 4, | |
| 4 | |
| ], | |
| "dropout": 0.0, | |
| "input_channels": 4, | |
| "latents_mean": null, | |
| "latents_std": null, | |
| "scaling_factor": 8.0064, | |
| "shift_factor": 0.0, | |
| "num_res_blocks": 2, | |
| "temperal_downsample": [ | |
| false, | |
| true, | |
| true | |
| ], | |
| "z_dim": 16 | |
| } | |