Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/RunDiffusionFX2.5D_v1_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/RunDiffusionFX2.5D_v1_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("digiplay/RunDiffusionFX2.5D_v1_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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 449b89155ce6e36a4f9f15411b9e17d420876754960907895cec6f0242f2ce3c
- Size of remote file:
- 335 MB
- SHA256:
- 9fafebf1949ad2789d92b6cb78281af792f05626dd4bb25ef083027ba82bbf92
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