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GPUs_Everywhere.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2751b490fc7ec07b00ee25651b616954e17209f0fa00dc078e3359d67de711ec
+size 228456828

README.md

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+---
+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)
+