Instructions to use tm-hf-repo/tmsdcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tm-hf-repo/tmsdcd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tm-hf-repo/tmsdcd") prompt = "tmsdcd" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
tmsdcd
Model description
Prompt on Seedream: children's drawing, illustration eyes, maintain the exact same colors, pose, and hairstyle. keep the same skin tone. extremely detailed facial features,
This was trained for 3000 steps
Trigger words
You should use tmsdcd to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
INPUT
Base trigger prompt
base trigger prompt with additional "maintain the same skin tone"
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