Instructions to use JPAiversion/Photo-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JPAiversion/Photo-V2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("playgroundai/playground-v2.5-1024px-aesthetic", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JPAiversion/Photo-V2") prompt = "futuristic city with a brain on top of it and a river running through it, 3840x2160, 3840 x 2160, concept design art octane render, open, octagon render 8k, dmt imagery. octane render, otcean render, 3 d render beeple, cgi render, optane render" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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