| 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) | |