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
Update model_index.json
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model_index.json
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{
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"model_type": "stable-diffusion",
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"base_model": "stabilityai/stable-diffusion-3.5-medium",
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"components": {
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"_class_name": "StableDiffusionPipeline",
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"model_type": "stable-diffusion",
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"base_model": "stabilityai/stable-diffusion-3.5-medium",
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"components": {
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