Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
art
anime
style
checkpoint
stable-diffusion
stable-diffusion-diffusers
yntec
anything
Dreamlike
Instructions to use Yntec/DreamAnything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DreamAnything 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/DreamAnything", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 144e5bfdf366de13f36d61b2d2c577a58ddf573c878c2e3584af42d1897e8358
- Size of remote file:
- 3.44 GB
- SHA256:
- d9b620583055a54b05d2f104126d95f1e081d3108225098bcf803eb11b308a5a
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