Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
Female
Girls
RSTR
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Coquett with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Coquett 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/Coquett", 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 tokenizer.tokenizer_config.json to tokenizer/tokenizer_config.json
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Rename tokenizer.special_tokens_map.json to tokenizer/special_tokens_map.json
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Delete tokenizer/tokenizer_config.json
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Delete tokenizer/special_tokens_map.json
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Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (bd241aa65a405374b0776aab62a439f30a7ee7b2)5b1c114