Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
Dreamlike
art
Retro
Elldreths
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/DreamLikeRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DreamLikeRemix 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/DreamLikeRemix", 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
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license:
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language:
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- en
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library_name: diffusers
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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# DreamLikeRemix
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license: other
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language:
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- en
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library_name: diffusers
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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inference: false
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# DreamLikeRemix
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