Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
flow-dppo
unirl
stable-diffusion-3.5
stable-diffusion-3.5-medium
Instructions to use Eculid/sd3.5-flowdppo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Eculid/sd3.5-flowdppo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Eculid/sd3.5-flowdppo", 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:
- 6c78e8f90b3cf617d98bcb2ab2b22aac970d685b113ba9c5df2d3a25c7ba173a
- Size of remote file:
- 4.94 GB
- SHA256:
- ba4af505d8e3eed16b74774ea00a13cd7558aa54a7a7e4031dc25495bda3c363
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