Text-to-Image
Diffusers
ONNX
Safetensors
GGUF
English
art
agent
image-generation
video-generation
text-to-video
style-transfer
image-editing
tts
local-inference
Instructions to use atMrMattV/Visione with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use atMrMattV/Visione with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("atMrMattV/Visione", 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
- Draw Things
- DiffusionBee
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<a href="https://huggingface.co/atMrMattV/Visione/resolve/main/Visione_0.
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<a href="https://www.notion.so/Visione-Technical-Documentation-3194a74185bb8015b154e234606497e2">Documentation</a>
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<a href="https://huggingface.co/atMrMattV/Visione/resolve/main/Visione_0.6.1_x64-setup.exe?download=true">Download Visione</a>
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<a href="https://www.notion.so/Visione-Technical-Documentation-3194a74185bb8015b154e234606497e2">Documentation</a>
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