Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion-1.5
converted-model
cyberrealistic
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("OmegaSunset/CyberRrealisticSD15_Diffusers", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]CyberRealistic (Diffusers Format)
This is Cyberdelia's CyberRealistic model for Stable Diffusion 1.5, converted to the Diffusers format for use in local inference environments such as diffusers, InvokeAI, ComfyUI, and other compatible toolchains.
Note: I did not train or alter the model weights — full credit goes to Cyberdelia. This repository simply provides a format-converted version for local use.
Usage
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained("your-username/CyberRealistic-diffusers", torch_dtype=torch.float16)
pipe.to("cuda")
prompt = "a cyberpunk portrait of a woman in neon lights"
image = pipe(prompt).images[0]
image.save("output.png")
License
This model is licensed under the CreativeML Open RAIL-M License, which allows for commercial and non-commercial usage with restrictions. Please review the license terms before use.
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