Instructions to use akhaliq/MOSS-Image-SFT-4-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use akhaliq/MOSS-Image-SFT-4-steps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenMOSS-Team/MOSS-Image-SFT", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("akhaliq/MOSS-Image-SFT-4-steps") 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
Ctrl+K
- checkpoint-update-100
- checkpoint-update-1000
- checkpoint-update-200
- checkpoint-update-250
- checkpoint-update-300
- checkpoint-update-400
- checkpoint-update-500
- checkpoint-update-6
- checkpoint-update-750
- euler-update-100
- euler-update-200
- euler-update-300
- euler-update-400
- euler-update-500
- euler-update-600
- latest
- scheduler
- showcase
- text_encoder
- tokenizer
- transformer
- vae
- 2.48 kB
- 9.13 kB
- 2.56 kB
- 4 kB
- 1.19 GB xet
- 412 Bytes
- 25.1 kB
- 23 kB