Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
Art
Girl
LandScapes
Animals
Creatures
Eyes
Style
2D
Base Model
RIXYN
Barons
iamxenos
Lykon
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/ShapeShifter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ShapeShifter 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/ShapeShifter", 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 text_encoder/config.json
Browse files- text_encoder/config.json +2 -2
text_encoder/config.json
CHANGED
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "
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"transformers_version": "4.
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"vocab_size": 49408
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}
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.35.2",
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"vocab_size": 49408
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}
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