Instructions to use hahaday2022/MayDuSha_trained_model_bak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hahaday2022/MayDuSha_trained_model_bak with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hahaday2022/MayDuSha_trained_model_bak") prompt = "a photo of MayDuSha girl" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" with value "/home/cc/Tune-A-Video/checkpoints/stablediffusionapi/guofeng3" is not valid. Use a model id from https://hf.co/models.
LoRA DreamBooth - hahaday2022/MayDuSha_trained_model_bak
These are LoRA adaption weights for /home/cc/Tune-A-Video/checkpoints/stablediffusionapi/guofeng3. The weights were trained on a photo of MayDuSha girl using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.
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