Instructions to use lodestones/MOSS-Image-Base-8-steps-dmd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lodestones/MOSS-Image-Base-8-steps-dmd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lodestones/MOSS-Image-Base-8-steps-dmd", 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
Commit History
5 days ago
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lora_dmd2: DMD2 stage 2 (GAN) on top of DS-DMD 12000, final update 3000/3000 EMA; v-space LoRA, stock Euler 4-8 steps cfg 1
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lora_dmd2: DMD2 stage 2 (GAN) on top of DS-DMD 12000, update 1600/3000 EMA; v-space LoRA, stock Euler 4-8 steps cfg 1
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7 days ago
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update 12000 / 12000 (EMA, 8-step data-space DMD)
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update 9200 / 12000 (EMA, 8-step data-space DMD)
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initial commit
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