Instructions to use Jovie/Robotics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jovie/Robotics with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jovie/Robotics") prompt = "closeup portrait photo of an Elysium Robot Cyborg Samurai, macro, a captivating vibrant dark capturing the essence of a cyborg Bedouin sorcerer in fight stance, Kneeling infront of japanese shire. ethereal, smoky backdrop. throwing a translucent red/tanslucent amber/black, weapon, katana, holding katana, atmospheric haze, Film grain, cinematic film still, shallow depth of field, highly detailed, high budget, cinemascope, moody, epic, OverallDetail, gorgeous, 2000s vintage RAW photo, photorealistic, candid camera, color graded cinematic, eye catchlights, atmospheric lighting, skin pores, imperfections, natural, shallow dof," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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