Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("digiplay/nk15_diffusers", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Model info: https://civitai.com/models/84604/nk15
if you use this model in your diffusers, show some AutoencoderKL errors, Don't worry, just use the codes below, you can still generate images :)
modelid="digiplay/nk15_diffusers"
from diffusers.models import AutoencoderKL
vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse")
pipe = DiffusionPipeline.from_pretrained(modelid, vae=vae)
DEMO image is generated by using diffusers + Google Colab
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