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Johnny5_Robot-Flux-LoRA-1747271.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5e368ff8d5ed6b4e2d1c50d4cbd77e668873937f2fee544e921e7fd423f216f7
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README.md

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+---
+license: other
+license_name: bespoke-lora-trained-license
+license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+- migrated
+- character
+- robot
+- short circuit
+- johnny5
+- johnny 5 is alive!
+
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: Johnny5 robot
+widget:
+- text: 'Johnny5 robot eating spaghetti'
+  
+  output:
+    url: >-
+      35990623.jpeg
+- text: 'A Johnny5 robot is racing on a formula-1 racing track. Sport shot '
+  
+  output:
+    url: >-
+      35990619.jpeg
+- text: 'A Johnny5 robot is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini'
+  
+  output:
+    url: >-
+      35990620.jpeg
+- text: 'Johnny5 robot with a red wig, playing chess at the park, bomb going off in the background'
+  
+  output:
+    url: >-
+      35990622.jpeg
+- text: 'A Johnny5 robot is jumping above a cat'
+  
+  output:
+    url: >-
+      35990621.jpeg
+
+---
+
+# Johnny-5 Robot [Flux LoRA] 
+
+<Gallery />
+
+
+
+([CivitAI](https://civitai.com/models/))
+
+## Model description
+
+<p>Johnny-5 is the robotic main character of the <a rel="ugc" href="https://en.wikipedia.org/wiki/Short_Circuit_(1986_film)">Short Circuit films</a>.</p><p>Use <em>Johnny5 robot</em> in your prompts to trigger the generation</p><p>Trained using <a target="_blank" rel="ugc" href="https://www.astria.ai">Astria.ai'</a>s service</p><p><em>"Johnny 5 is alive!"</em></p>
+
+## Trigger words
+You should use `Johnny5 robot` to trigger the image generation.
+    
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/Norod78/johnny-5-robot-flux-lora/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
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
+pipeline.load_lora_weights('Norod78/johnny-5-robot-flux-lora', weight_name='Johnny5_Robot-Flux-LoRA-1747271.safetensors')
+image = pipeline('A Johnny5 robot is jumping above a cat').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)
+