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
File size: 411 Bytes
bc6fbf0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"_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
}
|