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/SweetMuse_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/81668/sweetmuse
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Author's Twitter: https://twitter.com/minami_ai01
Sample image
Recently, diffusers converter I don't why,Model shows error, if you use this model in your diffusers, show some AutoencoderKL errors, don't worry, please use the codes below, you can still generate images :)
modelid="digiplay/SweetMuse_diffusers"
from diffusers.models import AutoencoderKL
vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse")
pipe = DiffusionPipeline.from_pretrained(modelid, vae=vae)
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