Instructions to use JINTAIRE/anime_pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JINTAIRE/anime_pose with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JINTAIRE/anime_pose") prompt = "anime pose ,white background,full body,1boy, sitting,sketch, <lora:anime posev3:0.8:qie3>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
anime pose

- Prompt
- anime pose ,white background,full body,1boy, sitting,sketch, <lora:anime posev3:0.8:qie3>
- Negative Prompt
- EasyNegative

- Prompt
- anime pose ,white background,full body,1boy, sitting,sketch, <lora:anime posev3:0.8:qie3>
- Negative Prompt
- EasyNegative
_1_.png)
- Prompt
- anime pose ,white background,sketch, <lora:anime pose(final):1>
- Negative Prompt
- EasyNegative
_1_.png)
- Prompt
- anime pose ,white background,sketch, <lora:anime pose(final):1>
- Negative Prompt
- EasyNegative
Model description
anime pose(final)
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for JINTAIRE/anime_pose
Base model
stabilityai/stable-diffusion-3.5-medium