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("jssaluja/my_first_lora_v1-lora")
prompt = "sikh toddler 2 year old male with neat round turban royal blue embroidered ethnic kurta pyjama, cut kid with a smile, no earring, no ear visible, turban wraps neatly around head"
image = pipe(prompt).images[0]my_first_lora_v1-lora
Model trained with AI Toolkit by Ostris
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 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.bfloat16).to('cuda')
pipeline.load_lora_weights('jssaluja/my_first_lora_v1-lora', weight_name='my_first_lora_v1_000001000.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
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Base model
Qwen/Qwen-Image