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("PakNin/chao-hu-min-ge")
prompt = "巢湖民歌 渔船 国画风"
image = pipe(prompt).images[0]chao-hu-min-ge
Model trained with AI Toolkit by Ostris
- Prompt
- 巢湖民歌 渔船 国画风
- Prompt
- 巢湖民歌 渔船 油画风
- Prompt
- 渔船
Trigger words
You should use 巢湖民歌 to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('Qwen/Qwen-Image', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('PakNin/chao-hu-min-ge', weight_name='chao-hu-min-ge.safetensors')
image = pipeline('巢湖民歌 渔船 国画风').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for PakNin/chao-hu-min-ge
Base model
Qwen/Qwen-Image