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 Settings
- Draw Things
- DiffusionBee
Add files using upload-large-folder tool
Browse files
z-image/loras/Com Book E7 ZIT.safetensors
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