Downloads · 30 days
218
4% of all-time downloads
starsfriday/Qwen-Image-Gufeng-LoRA
Qwen-Image-Gufeng-LoRA is a text-to-image model from starsfriday. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
Downloads · 30 days
218
4% of all-time downloads
All-time downloads
5.7K
Public
Repo size
195 MB
Likes
6
Public
Click a slice to open those files.
.safetensors189 MB · 98%
From the Hugging Face model README
This is a model for Qwen-Image in Portrait generation, trained on Qwen/Qwen-Image, and it is mainly used to generate animation pictures of ancient Chinese style.For use in through the following code and ComfyUI,The workflow files are in the folder of this project.
from diffusers import DiffusionPipeline
import torch
model_name = "Qwen/Qwen-Image"
# Load the pipeline
if torch.cuda.is_available():
torch_dtype = torch.bfloat16
device = "cuda"
else:
torch_dtype = torch.float32
device = "cpu"
pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)
# Load LoRA weights
pipe.load_lora_weights('starsfriday/Qwen-Image-Gufeng-LoRA/qwen_image_gufeng.safetensors', adapter_name="lora")
prompt = '''gfwm, The image presents a digital illustration of a woman dressed in traditional East Asian attire, which suggests that the artwork may be inspired by Chinese or Japanese cultural elements. The use of soft colors and light effects gives the painting a serene and ethereal quality. The background is minimalistic, focusing attention on the subject while still providing context with the presence of foliage. This kind of imagery could be used for various purposes such as book covers, historical fiction media, or even educational materials to depict historical fashion and culture. The detailed rendering of her clothing and accessories indicates a high level of skill in digital artistry, capturing both the elegance of the garments and the gracefulness of the model's pose. '''
negative_prompt = " "
image = pipe(
prompt=prompt,
negative_prompt=negative_prompt,
width=1024,
height=1024,
num_inference_steps=50,
true_cfg_scale=5,
generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]
image.save("output.png")
gfwm
Weights for this model are available in Safetensors format.
This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(https://vvicat.com/).Business cooperation is welcome