Instructions to use OzzyGT/ming_image_custom_blocks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/ming_image_custom_blocks 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_custom_blocks", 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: 261 Bytes
dc9d63c | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_class_name": "MingImageBlocks",
"_diffusers_version": "0.41.0.dev0",
"auto_map": {
"ModularPipelineBlocks": "modular_blocks_ming_image.MingImageBlocks"
},
"requirements": {
"diffusers": ">=0.41.0.dev0",
"transformers": ">=5.0.0"
}
}
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