Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use zhangyi617/sd14_naruto_sam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhangyi617/sd14_naruto_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("CompVis/stable-diffusion-v1-4", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zhangyi617/sd14_naruto_sam") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cd852e10cfa3e2504440746e7fecb6514f0cdd60d3f9bba8f3e4b0c03c70199e
- Size of remote file:
- 6.59 MB
- SHA256:
- 67a1be8d4381749a2659860e3ae35b33af6e6092a1bf9e9da2ae29c735f0ee1e
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