Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Nintendo
Box Art
Video Games
Anime
Style
Illustration
Girls
NostalgiaForever
br_d
Lorim
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/NES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/NES with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/NES", 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:
- 53e7d67a76c3bf2bdc1c4a5701a47550d9a87561b5070f841632e4d85945f8fa
- Size of remote file:
- 492 MB
- SHA256:
- 864016b70dc810d4246fba7f903fbc7ce5321de06ee8f28ae891953e9ede190f
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