Instructions to use hs-body/hs-body-v2-step2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hs-body/hs-body-v2-step2000 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("hs-body/hs-body-v2-step2000") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" is not allowed to be empty
hs-body-v2-step2000

- Prompt
- -
Model description
LoRA trained for body-focused model. Checkpoint at step 200 for quality comparison. Base model: Stable Diffusion 1.5
Trigger words
You should use hsbody to trigger the image generation.
Download model
Download them in the Files & versions tab.
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