Text-to-Image
Diffusers
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StableDiffusionPipeline
Grapefruit
stable diffusion
stable diffusion diffusers
Instructions to use iZELX1/Grapefruit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iZELX1/Grapefruit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("iZELX1/Grapefruit", 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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Upload grapefruitV4.1.ckpt (#3)
- Upload grapefruitV4.1.ckpt (728c142435c61068157b0da97e73c88508870282) Co-authored-by: Zed <Gamb@users.noreply.huggingface.co>68aae4d
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Create model_index.json (#2)
- Create model_index.json (7578be425f9a3e374a08ea38b1547aa208dce53b) Co-authored-by: chengkai <zcker@users.noreply.huggingface.co>678cf74
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Upload grapefruitv4.safetensors (#1)
- Upload grapefruitv4.safetensors (2abebf799253e07b37f531df6225edfd81be9310) Co-authored-by: Meldone Dwarfbum <dwarfbum@users.noreply.huggingface.co>bf698b6
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.ckpt version
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lemon
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other versions
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Sample Images
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Model card
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grapefruitV3.1.safetensors
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initial commit
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