Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
realistic
photorealistic
Instructions to use dhead/animagineXL40_v4Opt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dhead/animagineXL40_v4Opt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dhead/animagineXL40_v4Opt", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- caf08b3b80c2298839fcb13db4a6ad2cabf5530b8f39dcf41eb79759cc2e2b19
- Size of remote file:
- 492 MB
- SHA256:
- c4cee69ac48794f68128c22fdeba06005071e2b34f22e31d2dce3a8280ad34e2
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