Text-to-Image
Diffusers
English
Polish
quantization
torchao
diffusion-transformer
moss-image-sft
fp8wo
Instructions to use WiktorMatuszek/MOSS-Image-SFT-FP8-WO-Max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WiktorMatuszek/MOSS-Image-SFT-FP8-WO-Max with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WiktorMatuszek/MOSS-Image-SFT-FP8-WO-Max", 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 COMPLETE.json from WiktorMatuszek/MOSS-Image-SFT-FP8-WO-Max: direct link, hf CLI and curl.
- Browser
- Download file 541 Bytes
-
https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-FP8-WO-Max/resolve/main/COMPLETE.json
- Command line
-
hf download hf://WiktorMatuszek/MOSS-Image-SFT-FP8-WO-Max/COMPLETE.json
-
curl -L -o COMPLETE.json https://huggingface.co/WiktorMatuszek/MOSS-Image-SFT-FP8-WO-Max/resolve/main/COMPLETE.json
541 Bytes
| { | |
| "checkpoint_sha256": { | |
| "diffusion_pytorch_model-00001-of-00003.bin": "ed333b0de81d7d7c15937681d0ee9c6f8247caceccdfe91b87872a094242aab8", | |
| "diffusion_pytorch_model-00002-of-00003.bin": "8b6781cbf9ac1267cb83779d9ef1e2a64fecf89a79289123214a4f35231d6d02", | |
| "diffusion_pytorch_model-00003-of-00003.bin": "842d15e49148123c14b1f200b34e7a24ecb5e60088ac708d8127392dc102c183" | |
| }, | |
| "selected_quantized_linears": 269, | |
| "status": "CHECKPOINT_SHARDS_RELOADED_AND_VERIFIED", | |
| "variant": "fp8wo-max", | |
| "verified_all_disk_weights": true | |
| } | |