Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
General
Anime
Art
Girl
Photorealistic
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stable-diffusion
stable-diffusion-diffusers
XpucT
Lykon
Instructions to use moonlightnexus/shaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use moonlightnexus/shaper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("moonlightnexus/shaper", 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:
- 212e09dc8e8bf421dfb3b7bc9c0b84b4d1830af0c886d028476ca57740faf643
- Size of remote file:
- 1.72 GB
- SHA256:
- ef450e47b86a7ccc6dd91e2cf44fcc549cf4aca58d32680286be6981f63fec70
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