Instructions to use Chroma111/general-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Chroma111/general-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Chroma111/general-models", torch_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
- Xet hash:
- bf9ad25528d3b8d7d38b4df96b55f92a94b9a5f4372d4200f65f0844e56f4fa2
- Size of remote file:
- 189 MB
- SHA256:
- 9c3ae2ce2de616815815628f966cdef5d9466722434a1be00c0785ec92e2a94f
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