Instructions to use scribbyotx/sa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use scribbyotx/sa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("scribbyotx/sa", 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
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Verified signaturecog predict r8.im/xarty8932/dream@sha256:5e3c45aa9c9896f86634175309490225e5a379a6a81c39abbf55eab2cd16b657 \ -i 'width=1024' \ -i 'height=1024' \ -i $'prompt="realstic Prompt: \\"A detailed portrait of a middle-aged man with a rugged face, wearing a leather jacket. He has piercing blue eyes and a determined expression. The background is a windswept desert landscape.\\" - @Gary Makinson (fast)\\n"' \ -i 'refine="no_refiner"' \ -i 'scheduler="K_EULER"' \ -i 'lora_scale=0.6' \ -i 'num_outputs=1' \ -i 'guidance_scale=7.5' \ -i 'apply_watermark=false' \ -i 'high_noise_frac=0.8' \ -i 'negative_prompt=""' \ -i 'prompt_strength=0.8' \ -i 'num_inference_steps=50'11f529f -
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