Instructions to use diobrando0/sunii1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diobrando0/sunii1 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("diobrando0/sunii1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("diobrando0/sunii1")
prompt = "-"
image = pipe(prompt).images[0]sunii1
.png)
- Prompt
- -
.png)
- Prompt
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- Prompt
- -
Model description
trigger word: sunii1
Trigger words
You should use sunii1 to trigger the image generation.
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Qwen/Qwen-Image