kpsss34/Walkyrie-1.3B-v2.0

• Update: --->
• Only CFG 1.0 is supported. The model has a better understanding of anatomy.
• The inference process is more flexible than before; you can use 12-28 steps.

[GITHUB] 

[ComfyUI Custom node] 

import torch
from pipeline_walkyrie import pipeline_walkyrie
from diffusers import AutoencoderKLWan
from PIL import Image


device = "cuda" if torch.cuda.is_available() else "cpu"
model_dtype = torch.bfloat16
model_id = "kpsss34/Walkyrie-1.3B-v2.0"

pipe = pipeline_walkyrie.from_pretrained(
    model_id,
    torch_dtype=model_dtype
)
pipe.to(device)

#pipe.load_lora_weights("lora.safetensors")

prompt = "a portrait of a young woman in a nightclub, cinematic film still, ultra wide aspect ratio, oval bokeh, soft highlight bloom, teal orange grading, film grain, moody lighting"

height = 1024
width = 1024
num_inference_steps = 20
guidance_scale = 1.0

generator = torch.Generator(device=device).manual_seed(0)
output = pipe(
    prompt=prompt,
    height=height,
    width=width,
    num_inference_steps=num_inference_steps,
    guidance_scale=guidance_scale,
    generator=generator,
    output_type="pil"
).frames[0]

output.save("output.png")