How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("guaguale/model_kthv_vcg", dtype=torch.bfloat16, device_map="cuda")

prompt = "a male idol sks with blonde hair, wearing a black jacket and fringes on the sides of the jacket"
image = pipe(prompt).images[0]

YAML Metadata Error:"base_model" with value "/mmu_vcg_ssd/liuhao12/workspace/1_diffusion/models/sd-zhuxiongwei-320nodes-task3_2-0612/checkpoint-28000/" is not valid. Use a model id from https://hf.co/models.

DreamBooth - guaguale/model_kthv_vcg

This is a dreambooth model derived from /mmu_vcg_ssd/liuhao12/workspace/1_diffusion/models/sd-zhuxiongwei-320nodes-task3_2-0612/checkpoint-28000/. The weights were trained on a male idol sks with blonde hair, wearing a black jacket and fringes on the sides of the jacket using DreamBooth. You can find some example images in the following.

DreamBooth for the text encoder was enabled: False.

Downloads last month
1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support