Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
sdxl
quantization
svdquant
nunchaku
fp4
int4
Instructions to use tonera/dreamshaperXL_v21TurboDPMSDE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tonera/dreamshaperXL_v21TurboDPMSDE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tonera/dreamshaperXL_v21TurboDPMSDE", 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:
- c6add0f8954e20d85539cc36917922748c98ddc185db892b847c9798a44b3777
- Size of remote file:
- 2.62 GB
- SHA256:
- acf443347a2ddc86644ee720c74ffb655b184559b84a2ab4eb04ad84f4f1e077
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