Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use covalenthq/boredape_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use covalenthq/boredape_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("covalenthq/boredape_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a bayc nft" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
CK commited on
Commit ·
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Parent(s): 78ad54e
Update README.md
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README.md
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@@ -53,7 +53,7 @@ pipeline = StableDiffusionPipeline.from_pretrained(
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pipeline.scheduler = DDIMScheduler.from_config(pipeline.scheduler.config)
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prompt = ["a spiderman bayc nft"]
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neg_prompt = ["realistic,disfigured face,
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num_samples = 3
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guidance_scale = 9
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num_inference_steps = 50
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pipeline.scheduler = DDIMScheduler.from_config(pipeline.scheduler.config)
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prompt = ["a spiderman bayc nft"]
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neg_prompt = ["realistic,disfigured face,disfigured eyes, deformed,bad anatomy"] * len(prompt)
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num_samples = 3
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guidance_scale = 9
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num_inference_steps = 50
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