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:
- 799224d3f572d70d3fcea083cc34b72363f12db2efe1bb6be8e87d76907b4053
- Size of remote file:
- 2.56 GB
- SHA256:
- c0ba4b305f84e88efd6db6078b81bf3c91dd84c15db3a31a0b23504f23bf1d94
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