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]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)
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Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
stabilityai/stable-diffusion-3.5-medium