Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
sdxl
quantization
svdquant
nunchaku
fp4
int4
Instructions to use tonera/oneObsession_v19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tonera/oneObsession_v19 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/oneObsession_v19", 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:
- 586898dcd0d7723ab4b4c7efd5925138be7543a476963779338e6201ee47a162
- Size of remote file:
- 2.62 GB
- SHA256:
- 4671eea299428e84b35d4326bc4b98543469c9c2adbeb90172cc52abe1c0ac5c
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