Instructions to use 6chan/Ming-Image-0.1-Design-Layer-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 6chan/Ming-Image-0.1-Design-Layer-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("6chan/Ming-Image-0.1-Design-Layer-FP8", 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
Download quant_report.json from 6chan/Ming-Image-0.1-Design-Layer-FP8: direct link, hf CLI and curl.
- Browser
- Download file 1.99 kB
-
https://huggingface.co/6chan/Ming-Image-0.1-Design-Layer-FP8/resolve/main/quant_report.json
- Command line
-
hf download hf://6chan/Ming-Image-0.1-Design-Layer-FP8/quant_report.json
-
curl -L -o quant_report.json https://huggingface.co/6chan/Ming-Image-0.1-Design-Layer-FP8/resolve/main/quant_report.json
1.99 kB
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