Instructions to use vantagewithai/Magic-Wan-Image-V2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vantagewithai/Magic-Wan-Image-V2-GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vantagewithai/Magic-Wan-Image-V2-GGUF", 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
Quantized GGUF version of Magic-Wan-Image V2.0.
Original model link: https://huggingface.co/wikeeyang/Magic-Wan-Image-V2
Watch us at Youtube: @VantageWithAI
Magic-Wan-Image V2.0
逼真肌肤、极致高清,适合人像与实景照片类图像的生成。细节丰富,支持 TTP 直放到 8M 像素。本模型为纯净底模,用户可根据个人喜好组合添加各种 NSFW / SFW 的 LoRA 模型。
Highly realistic skin texture and ultra-high resolution, suitable for generating Portrait and Real-world scenes. rich details and supports direct upscale to 8M pixels using TTP technology. This is pure base model, you can add all kind of NSFW / SFW LoRAs according to you like.
Also on: Modelscope, Civitai
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Model tree for vantagewithai/Magic-Wan-Image-V2-GGUF
Base model
Wan-AI/Wan2.2-T2V-A14B