Instructions to use wavespeed/MAGI-1-24B-distill-quant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wavespeed/MAGI-1-24B-distill-quant with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavespeed/MAGI-1-24B-distill-quant", 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
| 24B_distill_quant/inference_weight.fp8.distill/model-00001-of-00003.safetensors filter=lfs diff=lfs merge=lfs -text | |
| 24B_distill_quant/inference_weight.fp8.distill/model-00002-of-00003.safetensors filter=lfs diff=lfs merge=lfs -text | |
| 24B_distill_quant/inference_weight.fp8.distill/model-00003-of-00003.safetensors filter=lfs diff=lfs merge=lfs -text | |
| t5_pretrained/t5-v1_1-xxl/pytorch_model-00001-of-00002.bin filter=lfs diff=lfs merge=lfs -text | |
| t5_pretrained/t5-v1_1-xxl/pytorch_model-00002-of-00002.bin filter=lfs diff=lfs merge=lfs -text | |
| t5_pretrained/t5-v1_1-xxl/spiece.model filter=lfs diff=lfs merge=lfs -text | |
| t5_pretrained/t5-v1_1-xxl/t5-v1_1-xxl/pytorch_model-00001-of-00002.bin filter=lfs diff=lfs merge=lfs -text | |
| vae/diffusion_pytorch_model.safetensors filter=lfs diff=lfs merge=lfs -text | |