import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("plasmo/woolitize", dtype=torch.bfloat16, device_map="cuda")
prompt = "woolitize "
image = pipe(prompt).images[0]Jak's Woolitize Image Pack v.1.0 for Stable Diffusion 1.5 (2.0 coming soon)
Woolitize Image Pack brought to you by 117 training images through 8000 training steps, 20% Training text crafted by Jak_TheAI_Artist
UPDATE: Woolitize v1.2 available here
Version history:
v.1.0 - original model
v.1.2 - improved detail and backgrounds using 768x768 resolution training images
Include Prompt trigger: "woolitize" to activate.
Woolitize v1.0 (SD1.5) download file "woolitize.ckpt"
Woolitize v1.2 (SD1.5) download file "woolitize768.ckpt"
Woolitize (SD2.0) version: (not compatible with Automatic111 yet)
Sample pictures of this concept:
woolitize
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