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:
- 644f68b8bf6adcd0b1a231b3829298a2d758b87af7ffa0a84d3b40360f273c71
- Size of remote file:
- 492 MB
- SHA256:
- 81332d019f0564e31553f5cb8440144d9f3fea79c0f78333ce25228894c10f33
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