Instructions to use WILDFAL/odevalka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WILDFAL/odevalka with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nunchaku-tech/nunchaku-qwen-image-edit-2509", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("WILDFAL/odevalka") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 403 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/M1angWzocFSUJ3nY0I6bv_65292a7f69fd49c9b815525398299b38 (1).png
text: '-'
base_model: nunchaku-tech/nunchaku-qwen-image-edit-2509
instance_prompt: null
license: apache-2.0
---
# odevalka
<Gallery />
## Download model
[Download](/WILDFAL/odevalka/tree/main) them in the Files & versions tab.
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