import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("erwancodes/TeslaOptimusFluxD")
prompt = "Optimus is a robot with the text \"TESLA\" on its chest. it's a dj in a nighclub and wears a cowboy hat. It's dancing<lora:Optimus:0.9>"
image = pipe(prompt).images[0]Tesla Optimus
- Prompt
- Optimus is a robot with the text "TESLA" on its chest. it's a dj in a nighclub and wears a cowboy hat. It's dancing<lora:Optimus:0.9>
- Prompt
- Optimus is a robot with the text "TESLA" on its chest. it's skateboarding in a grocery store <lora:Optimus:0.9>
Model description
Tesla Optimus - Flux1.D
Source : https://civitai.com/models/869694/tesla-optimus-flux1d
Trigger words
You should use Optimus is a robot with the text "TESLA" on its chest to trigger the image generation.
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Base model
black-forest-labs/FLUX.1-dev