Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use guaguale/model_kthv_vcg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guaguale/model_kthv_vcg with Diffusers:
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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.
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