Text-to-Image
Diffusers
Safetensors
English
sdxl
stable diffusion
anime
earth and dusk
duskfallcrew
sdxl-anikme
sdxl anime
Instructions to use MLbackup/2023_Scraped_SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MLbackup/2023_Scraped_SDXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MLbackup/2023_Scraped_SDXL", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 7dfac548a0a3d3986edec169cbcee4d0865b514da51e49f98d2c642d1e32ce0e
- Size of remote file:
- 6.94 GB
- SHA256:
- ae6f66a803178e0702d6dbe4a1c65b3d008fc8180a260a19b7a02d811e433435
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