ICONN 1
Collection
A collection of ICONN's first models • 3 items • Updated • 1
How to use Enderchef/ICONN-i1-Artist with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Enderchef/ICONN-i1-Artist", dtype=torch.bfloat16, device_map="cuda")
prompt = "A close-up portrait of an elderly woman with deep wrinkles, wearing traditional Tibetan clothes, looking into the camera — hyperrealistic with soft lighting."
image = pipe(prompt).images[0]import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Enderchef/ICONN-i1-Artist", dtype=torch.bfloat16, device_map="cuda")
prompt = "A close-up portrait of an elderly woman with deep wrinkles, wearing traditional Tibetan clothes, looking into the camera — hyperrealistic with soft lighting."
image = pipe(prompt).images[0]Like ICONN 1? Well, it can generate images — This model is the legacy ICONN 1 image generation version - Introducing ICONN i1, ICONN's image generation model!
This model is available in Safetensors format.
Download it here from the Files & versions tab.
Ready to generate your images? Load ICONN i1 instantly with the following python code -
from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
import torch
pipe = StableDiffusionPipeline.from_pretrained(
"Enderchef/ICONN-0.5-i1-imageGen",
torch_dtype=torch.float16,
safety_checker=None
).to("cuda")
pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
# Put your prompt here!
prompt = "A serene Japanese garden in spring — watercolor style"
image = pipe(prompt).images[0]
image.save("output.png")
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