File size: 1,761 Bytes
e0d7879
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b554bd3
e0d7879
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b554bd3
e0d7879
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- objects
- technology
- ai
- laptop
- sdxl 1,0
- copilot pc

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: 
widget:
- text: ' '
  
  output:
    url: >-
      17274742.jpeg

---

# AI Laptops 

<Gallery />





## Model description

<p>This is a LoRA specialized in generating highly detailed and true to life images of AI "Copilot+ PCs" Laptops, it was trained on a collection of manually collected High resolution renders and shots of Laptops from various brands, and paired with manual description to ensure maximum quality and results, if you liked this LoRA, please don't hesitate to drop a donation to support My Work!</p>



## Download model

Weights for this model are available in Safetensors format.

[Download](/Tech-Meld/ai-laptops/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Tech-Meld/ai-laptops', weight_name='AI_Laptops_2-10.safetensors')
image = pipeline('Your custom prompt').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)