Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
NoAI
AntiAI
Instructions to use yasakoko/NoAI-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yasakoko/NoAI-Diffusion 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", 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
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("yasakoko/NoAI-Diffusion", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]NoAI-Diffusion v1.2
Updates: prompt now is antiai logo
.CKPT at /models
Stable Diffusion 1.4 finetuned with a lot of NoAI/AntiAI images. Have fun π€
Sample image
v1.0 β normal
v1.1 β creative
v1.2 β clear letters
NoAI-Diffusion 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 = "a photo of 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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