Instructions to use wolfer45/zimage-reesewitherspoon-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wolfer45/zimage-reesewitherspoon-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wolfer45/zimage-reesewitherspoon-v1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 522 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/31.jpg
text: '-'
base_model: Tongyi-MAI/Z-Image-Turbo
instance_prompt: zimage-reesewitherspoon-v1
---
# zimage-reesewitherspoon-v1
<Gallery />
## Model description
zimage-reesewitherspoon-v1
## Trigger words
You should use `zimage-reesewitherspoon-v1` to trigger the image generation.
## Download model
[Download](/wolfer45/zimage-reesewitherspoon-v1/tree/main) them in the Files & versions tab.
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