Instructions to use bartar/prci with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bartar/prci 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bartar/prci") prompt = "Photorealistic photo of prci, gray nissan qashqai, standing on a grey brick pavement, trees and blue sky in the background. Taken by phone" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Add generated example
BartoszVerified signatureGenerated example for model barttee/prci. Prompt: Photorealistic photo of prci, gray nissan qashqai, standing on a grey brick pavement, trees and blue sky in the background. Taken by phonece9693d -
Add generated example (#1)
BartoszVerified signature- Add generated example (d5cb9d163ee0946c269af66faac4cbbbc252a9d2)8ee77c7