Text-to-Image
Diffusers
Safetensors
Swedish
moss-image
handwriting
historical-documents
archives
htr
synthetic-data
Instructions to use Gabriel/diffu-moss-r6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gabriel/diffu-moss-r6b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Gabriel/diffu-moss-r6b", 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
Download export.json from Gabriel/diffu-moss-r6b: direct link, hf CLI and curl.
- Browser
- Download file 218 Bytes
-
https://huggingface.co/Gabriel/diffu-moss-r6b/resolve/main/export.json
- Command line
-
hf download hf://Gabriel/diffu-moss-r6b/export.json
-
curl -L -o export.json https://huggingface.co/Gabriel/diffu-moss-r6b/resolve/main/export.json
218 Bytes
| { | |
| "takes_reference": true, | |
| "base": "OpenMOSS-Team/MOSS-Image-Base@85975793d8b3d432f1b6e27f352abaa4c2a4c0d3 (full fine-tunes r5 1500 steps, r6 250, r6b 750)", | |
| "checkpoint": "full_r6b/step_000750", | |
| "adapter": null | |
| } | |