Text-to-Image
Diffusers
English
Polish
quantization
torchao
diffusion-transformer
moss-image-sft
fp8dynamic-tensor
Instructions to use WiktorMatuszek/MOSS-Image-SFT-FP8-W8A8-Tensor-Core with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WiktorMatuszek/MOSS-Image-SFT-FP8-W8A8-Tensor-Core 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-W8A8-Tensor-Core", 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
File size: 471 Bytes
977ac78 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"bbox_coord_space": "abs_centralized",
"bbox_format": "yxyx",
"items": [
{
"bbox": [
-195,
-360,
195,
360
],
"caption": "large legible painted typography",
"label": "text",
"text": "Wróżka z Łęczycy"
}
],
"summary": {
"canvas": "single",
"caption": "Old wooden sign on a small town street in warm golden-hour sunlight, photorealistic.",
"meta": [
"photo"
]
}
}
|