Instructions to use Daverrrr75/QwenAnimeTransform with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Daverrrr75/QwenAnimeTransform with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Daverrrr75/QwenAnimeTransform") prompt = "transform into realistic photography" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2f0b52c04b8a39e3855c28aa11800642c24fa48f211080dc1b0767103ffd3b08
- Size of remote file:
- 590 MB
- SHA256:
- f9d7c2c1e4b5edfbfacf5841eaf117bd933558dd44072a76a3eb0029abd2d7ed
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