Views
No views yet
DaVinciXL, One mechanical device with gears and levers, no human subjects, one item in the image.4.20.030None421024x10241{
2 "algo": "lokr",
3 "multiplier": 1.0,
4 "linear_dim": 10000,
5 "linear_alpha": 1,
6 "factor": 16,
7 "apply_preset": {
8 "target_module": [
9 "Attention",
10 "FeedForward"
11 ],
12 "module_algo_map": {
13 "Attention": {
14 "factor": 16
15 },
16 "FeedForward": {
17 "factor": 8
18 }
19 }
20 }
21}1import torch
2from diffusers import DiffusionPipeline
3from lycoris import create_lycoris_from_weights
4
5model_id = 'stabilityai/stable-diffusion-xl-base-1.0'
6adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually
7lora_scale = 1.0
8wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer)
9wrapper.merge_to()
10
11prompt = "DaVinciXL, One mechanical device with gears and levers, no human subjects, one item in the image."
12negative_prompt = 'blurry, cropped, ugly'
13pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
14image = pipeline(
15 prompt=prompt,
16 negative_prompt=negative_prompt,
17 num_inference_steps=30,
18 generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
19 width=1024,
20 height=1024,
21 guidance_scale=4.2,
22 guidance_rescale=0.0,
23).images[0]
24image.save("output.png", format="PNG")