---
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
- concept
- rtx
- gpu
- amd
- nvidia
- gtx

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: 
widget:
- text: ' '
  
  output:
    url: >-
      17295193.jpeg

---

# GPUs Everywhere 

<Gallery />





## Model description

<p>"GPUs Everywhere" a LoRA to generate highly accurate and realistic images and renders for recent Nvidia and AMD GPUs, from RX 5000 to RX 7000 and GTX 10 to RTX 40 series. </p>



## Download model

Weights for this model are available in Safetensors format.

[Download](/Tech-Meld/gpus-everywhere/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/gpus-everywhere', weight_name='GPUs_Everywhere.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)