Instructions to use Daverrrr75/Qwen_Pastel_Dream_Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Daverrrr75/Qwen_Pastel_Dream_Lora 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("Daverrrr75/Qwen_Pastel_Dream_Lora") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Qwen_Pastel_Dream

- Prompt
- -
Model description
This is my first LoRA. It seems to work quite well for image generation, image-edit doesn't produce very realistic images. However feel free to try, comment the settings you use to get the best results!
Trigger words
You should use p3r5on to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Daverrrr75/Qwen_Pastel_Dream_Lora
Base model
Qwen/Qwen-Image