Instructions to use Soojeong/femail_hanbok_1e-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Soojeong/femail_hanbok_1e-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("chilloutmix_NiPrunedFp16Fix", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Soojeong/femail_hanbok_1e-4") prompt = "a photo of wearing hanbok" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("chilloutmix_NiPrunedFp16Fix", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Soojeong/femail_hanbok_1e-4")
prompt = "a photo of wearing hanbok"
image = pipe(prompt).images[0]LoRA DreamBooth - Soojeong/femail_hanbok_1e-4
These are LoRA adaption weights for chilloutmix_NiPrunedFp16Fix. The weights were trained on a photo of wearing hanbok using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
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