Instructions to use tiny-random/moss-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tiny-random/moss-image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tiny-random/moss-image", 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 transformer/config.json from tiny-random/moss-image: direct link, hf CLI and curl.
- Browser
- Download file 237 Bytes
-
https://huggingface.co/tiny-random/moss-image/resolve/main/transformer/config.json
- Command line
-
hf download hf://tiny-random/moss-image/transformer/config.json
-
curl -L -o config.json https://huggingface.co/tiny-random/moss-image/resolve/main/transformer/config.json
237 Bytes
| { | |
| "_class_name": "MOSSImageTransformer", | |
| "_diffusers_version": "0.40.0.dev0", | |
| "dim": 64, | |
| "ffn_dim": 128, | |
| "freq_dim": 32, | |
| "latent_channels": 128, | |
| "num_heads": 2, | |
| "num_layers": 4, | |
| "rope_base": 10000.0, | |
| "text_dim": 32 | |
| } | |