Text-to-Image
Diffusers
English
stable-diffusion
stable-diffusion-diffusers
stable-diffusion-xl
art
artistic
anime
Instructions to use Lazycuber/SAM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lazycuber/SAM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lazycuber/SAM", 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
Upload SAM.safetensors
Browse files- SAM.safetensors +3 -0
SAM.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:025465bd7e1e2d520fdbc0926736116d6589dc9ca0470d3150a031e1be073f77
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size 6938041578
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