Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealistic
Highly Detailed
Beautiful
Cyberdelia
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/CyberRealistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/CyberRealistic 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/CyberRealistic", 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
Commit History
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Rename !text_encoder/model.safetensors to text_encoder/model.safetensors
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Rename !text_encoder/model.fp16.safetensors to text_encoder/model.fp16.safetensors
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Rename !text_encoder/config.json to text_encoder/config.json
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Rename text_encoder/model.safetensors to !text_encoder/model.safetensors
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Rename text_encoder/model.fp16.safetensors to !text_encoder/model.fp16.safetensors
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Rename text_encoder/config.json to !text_encoder/config.json
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Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (6a1e950a0f91216911185a443b7505d0b883fc2a)00e5cc4