Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
NoAI
AntiAI
Instructions to use yasakoko/NoAI-Diffusion-variety with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yasakoko/NoAI-Diffusion-variety with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yasakoko/NoAI-Diffusion-variety", 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 Settings
- Draw Things
- DiffusionBee
Stable Diffusion 1.4 finetuned with a lot of NoAI/AntiAI images plus AI generated creative logos. Have fun 🤗
Sample image
NoAI-Diffusion-variety v1.0
Diffusers
from diffusers import StableDiffusionPipeline
import torch
model_id = "Kokohachi/NoAI-Diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16, revision="fp16")
pipe = pipe.to("cuda")
prompt = "sks icon, antiai logo"
image = pipe(prompt).images[0]
image.save("noai.png")
For more detailed instructions, use-cases and examples in JAX follow the instructions here
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