Instructions to use AIARTCHAN/anidosmixV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIARTCHAN/anidosmixV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIARTCHAN/anidosmixV2", 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:
- 6a0d0e5a372d45617184c010b3ce20850ba3b211049bd2fd5a9375a16364128d
- Size of remote file:
- 492 MB
- SHA256:
- 993d62154fb701fa6bddb2c579dfaf1f30f820f99aabc9b116058a566d2f050d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.