Gbqwen LoRA

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('Qwen/Qwen-Image', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('comfyuiman/gbqwen-lora', weight_name='gbqwen_000003750.safetensors')
image = pipeline('a beautiful landscape').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

gbqwen_000003500.safetensors

safetensors · 563 MB · SHA-256 9c570facd642…f1fb · Hugging Face

--- tags: - text-to-image - lora - diffusers - template:sd-lora - ai-toolkit base_model: Qwen/Qwen-Image license: creativeml-openrail-m inference: parameters: width: 1024 height: 1024 --- # gbqwen-lora Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) ## Trigger words No trigger words defined. ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. Weights for this model are available in Safetensors format. [Download](comfyuiman/gbqwen-lora/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py from diffusers import AutoPipelineForText2Image import torch pipeline = AutoPipelineForText2Image.from_pretrained('Qwen/Qwen-Image', torch_dtype=torch.bfloat16).to('cuda') pipeline.load_lora_weights('comfyuiman/gbqwen-lora', weight_name='gbqwen_000003750.safetensors') image = pipeline('a beautiful landscape').images[0] image.save("my_image.png") ``` For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)