Instructions to use pinecoresystems/Ming-Image-0.1-Design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pinecoresystems/Ming-Image-0.1-Design with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pinecoresystems/Ming-Image-0.1-Design", 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
Upload vae/config.json with huggingface_hub
Browse files- vae/config.json +25 -0
vae/config.json
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{
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"_class_name": "AutoencoderKLQwenImage",
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"_diffusers_version": "0.36.0.dev0",
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"attn_scales": [],
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"base_dim": 96,
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"dim_mult": [
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1,
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2,
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4,
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4
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],
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"dropout": 0.0,
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"input_channels": 4,
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"latents_mean": null,
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"latents_std": null,
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"scaling_factor": 8.0064,
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"shift_factor": 0.0,
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"num_res_blocks": 2,
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"temperal_downsample": [
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false,
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true,
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true
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],
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"z_dim": 16
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}
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