Instructions to use softwareweaver/HaveAll-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use softwareweaver/HaveAll-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("softwareweaver/HaveAll-Diffusers", 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:
- 606cf8682e672adf44f1ab5f51410e1a30b3243339e7629432dcfcda2cc67a68
- Size of remote file:
- 1.22 GB
- SHA256:
- fb351a5ded815c3ff744968ad9c6b218d071b9d313d04f35e813b84b4c0ffde8
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