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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| Component | Description |
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| **Imagine** | Text-to-image generation with 90+ style LoRAs across 3 model tiers (Z-Image Turbo, Klein
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| **Animate** | Image-to-video and text-to-video via LTX 2.3. 5 workflow modes: standard I2V/T2V, Best 3-stage, first-last-frame, audio-conditioned. |
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| **Retouch** | Full image editor — inpainting, upscaling, reframing, face swap (InsightFace + FaceFusion), background removal, LUT color grading, optical realism effects, multi-reference compositing, and smart selection (SAM). |
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| **Retexture** | Apply any of 90+ preset styles to existing images via LoRA, or transfer the style of a reference image using depth-conditioned generation. |
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Retouch, and Storyboard with `@mentions`.
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- **Smart VRAM management** — Models load and unload sequentially to fit within 16GB. One active model at a time,
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no manual memory management needed.
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- **Multilingual UI** — English, Italian, Spanish, French, German.
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- **Local LLM + VLM** — Qwen3.5-4B handles prompt enhancement, image captioning, and storyboard agents. Falls back
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to Llama 3.2 3B on CPU if needed. No external API calls.
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- **Optical realism** — Client-side film emulation: grain, halation, vignette, pro-mist, chromatic aberration,
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| Component | Description |
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|---|---|
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| **Imagine** | Text-to-image generation with 90+ style LoRAs across 3 model tiers (Z-Image Turbo, Klein 9B). Character `@mentions` for consistent subjects. |
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| 70 |
| **Animate** | Image-to-video and text-to-video via LTX 2.3. 5 workflow modes: standard I2V/T2V, Best 3-stage, first-last-frame, audio-conditioned. |
|
| 71 |
| **Retouch** | Full image editor — inpainting, upscaling, reframing, face swap (InsightFace + FaceFusion), background removal, LUT color grading, optical realism effects, multi-reference compositing, and smart selection (SAM). |
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| 72 |
| **Retexture** | Apply any of 90+ preset styles to existing images via LoRA, or transfer the style of a reference image using depth-conditioned generation. |
|
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| 110 |
Retouch, and Storyboard with `@mentions`.
|
| 111 |
- **Smart VRAM management** — Models load and unload sequentially to fit within 16GB. One active model at a time,
|
| 112 |
no manual memory management needed.
|
| 113 |
+
- **Multilingual UI** — English, Italian, Spanish, French, German. (COMING SOON)
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| 114 |
- **Local LLM + VLM** — Qwen3.5-4B handles prompt enhancement, image captioning, and storyboard agents. Falls back
|
| 115 |
to Llama 3.2 3B on CPU if needed. No external API calls.
|
| 116 |
- **Optical realism** — Client-side film emulation: grain, halation, vignette, pro-mist, chromatic aberration,
|