Instructions to use imjunaidafzal/saqib-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use imjunaidafzal/saqib-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("imjunaidafzal/saqib-v2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 62c64d67939a66841d4a2c6d8929cc57459c840179d8727733f7c767c42d5b51
- Size of remote file:
- 492 MB
- SHA256:
- 55219c23ed59cec1fff818033d72c71d3425a13ccd66852ed17fa3b03f3a714c
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