Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
Instructions to use drawhisper/animagine-xl-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use drawhisper/animagine-xl-v4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("drawhisper/animagine-xl-v4", dtype=torch.bfloat16, device_map="cuda") prompt = "1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck, masterpiece, high score, great score, absurdres" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8f7e716b9c07745db49086640783ef31fffe44e9ff2bd44fbc0110ae2d44608c
- Size of remote file:
- 6.94 GB
- SHA256:
- 6327eca98bfb6538dd7a4edce22484a1bbc57a8cff6b11d075d40da1afb847ac
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