Visual Question Answering
Diffusers
Safetensors
English
Hindi
StableDiffusionPipeline
multimodal
text-to-image
image-to-image
image-to-text
vision
ocr
sashi
sashi-1.0-vision
8k
india
varanasi
Instructions to use ftmdeveloperz006/SaShi-1.0-Vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ftmdeveloperz006/SaShi-1.0-Vision with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ftmdeveloperz006/SaShi-1.0-Vision", 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 tokenizer/tokenizer.json from ftmdeveloperz006/SaShi-1.0-Vision: direct link, hf CLI and curl.
- Browser
- Download file 3.64 MB
-
https://huggingface.co/ftmdeveloperz006/SaShi-1.0-Vision/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://ftmdeveloperz006/SaShi-1.0-Vision/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ftmdeveloperz006/SaShi-1.0-Vision/resolve/main/tokenizer/tokenizer.json
3.64 MB
File too large to display, you can check the raw version instead.