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W-Nevaeh/simpletuner-lora
simpletuner-lora is a text-to-image model from W-Nevaeh. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
This is a LyCORIS adapter derived from flux/unknown-model.
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.safetensors110 MB · 97%
From the Hugging Face model README
This is a LyCORIS adapter derived from flux/unknown-model.
The main validation prompt used during training was:
a high-resolution photograph featuring a young asian woman with long, straight, dark brown hair and fair skin, she has a delicate, symmetrical face with large, almond-shaped eyes, full lips, and a slight smile, her expression is calm and inviting, she is dressed in a black, off-the-shoulder dress with a deep v-neckline that accentuates her ample breasts, the dress is made of a soft, velvet-like material that clings to her curves, and it is draped over her shoulders in a gray, abstract patterned shawl, she wears a black choker with a small black ribbon and a black bracelet on her left wrist, her right hand is adorned with a gold ring, and she is holding a small, gold-colored object in her left hand, the background features a modern, minimalist setting with concrete structures and a few decorative boxes with the word chagee written on them, the overall ambiance is serene and sophisticated, with a hint of natural beauty
3.00.020None421024x1024Note: The validation settings are not necessarily the same as the training settings.
<Gallery />The text encoder was not trained. You may reuse the base model text encoder for inference.
{
"algo": "lokr",
"multiplier": 1.0,
"linear_dim": 10000,
"linear_alpha": 1,
"factor": 16,
"apply_preset": {
"target_module": [
"Attention",
"FeedForward"
],
"module_algo_map": {
"Attention": {
"factor": 16
},
"FeedForward": {
"factor": 8
}
}
}
}
import torch
from diffusers import DiffusionPipeline
from lycoris import create_lycoris_from_weights
model_id = '/data/swh/hub_model/FLUX.1-dev'
adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually
lora_scale = 1.0
wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer)
wrapper.merge_to()
prompt = "a high-resolution photograph featuring a young asian woman with long, straight, dark brown hair and fair skin, she has a delicate, symmetrical face with large, almond-shaped eyes, full lips, and a slight smile, her expression is calm and inviting, she is dressed in a black, off-the-shoulder dress with a deep v-neckline that accentuates her ample breasts, the dress is made of a soft, velvet-like material that clings to her curves, and it is draped over her shoulders in a gray, abstract patterned shawl, she wears a black choker with a small black ribbon and a black bracelet on her left wrist, her right hand is adorned with a gold ring, and she is holding a small, gold-colored object in her left hand, the background features a modern, minimalist setting with concrete structures and a few decorative boxes with the word chagee written on them, the overall ambiance is serene and sophisticated, with a hint of natural beauty"
pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
prompt=prompt,
num_inference_steps=20,
generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
width=1024,
height=1024,
guidance_scale=3.0,
).images[0]
image.save("output.png", format="PNG")