Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
acheong08
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/f222 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/f222 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/f222", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d762c801c7861650189d0433a83f9881204130d8d28a14a2cf3c323998a07b57
- Size of remote file:
- 492 MB
- SHA256:
- 6f7cf840350f3361798807972b98ce510d280f442c5a9da87a0c650edba1e0c2
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