Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Portrait
3D
Hius
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/DreamFulV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DreamFulV2 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/DreamFulV2", 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:
- a815f73836a3e8664df1cede110632e6a7b74d1c38285a2060f9a8029711747a
- Size of remote file:
- 492 MB
- SHA256:
- 3d32e774b144fe06f8376a8610df97642311d2287e2cdac0116248ff5f76fcc8
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