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: 575 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 27 28 29 30 31 | {
"_class_name": "MingImageTransformer2DModel",
"_diffusers_version": "0.41.0.dev0",
"alignment_padding_mode": "zero_masked",
"auto_map": {
"AutoModel": "transformer_ming_image.MingImageTransformer2DModel"
},
"axes_dims": [
32,
48,
48
],
"axes_lens": [
20480,
512,
512
],
"cap_feat_dim": 2560,
"dim": 3840,
"f_patch_size": 1,
"in_channels": 16,
"multi_frame_output": false,
"n_heads": 30,
"n_layers": 30,
"n_refiner_layers": 2,
"norm_eps": 1e-05,
"patch_size": 2,
"rope_theta": 256.0,
"t_scale": 1000.0
}
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