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
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README.md
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<p align="center">
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<img
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src="https://cdn-uploads.huggingface.co/production/uploads/695017bb0c3fc8b9c78497e9/YJHpzH436J828nNymCNk7.png"
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---
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language:
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- en
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base_model:
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- Lightricks/LTX-2.3
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- Tongyi-MAI/Z-Image-Turbo
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- black-forest-labs/FLUX.2-klein-9B
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- black-forest-labs/FLUX.2-klein-4B
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- tencent/HunyuanVideo-Foley
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- Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
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- Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign
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- Qwen/Qwen3-TTS-12Hz-1.7B-Base
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---
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<p align="center">
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<img
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src="https://cdn-uploads.huggingface.co/production/uploads/695017bb0c3fc8b9c78497e9/YJHpzH436J828nNymCNk7.png"
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