Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
art
artistic
DreamlikeArt
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/DreamlikeDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DreamlikeDiffusion 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/DreamlikeDiffusion", 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
Update scheduler/scheduler_config.json
Browse files
scheduler/scheduler_config.json
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"timestep_spacing": "linspace",
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"trained_betas": null,
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"use_karras_sigmas":
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}
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"timestep_spacing": "linspace",
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"trained_betas": null,
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"use_karras_sigmas": false
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}
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