Instructions to use ayushtues/blipdiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ayushtues/blipdiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ayushtues/blipdiffusion", 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
Update README.md
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README.md
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@@ -34,7 +34,7 @@ from diffusers.utils import load_image
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import torch
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blip_diffusion_pipe = BlipDiffusionPipeline.from_pretrained(
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"
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).to("cuda")
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cond_subject = "dog"
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from controlnet_aux import CannyDetector
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blip_diffusion_pipe = BlipDiffusionControlNetPipeline.from_pretrained(
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"
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).to("cuda")
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style_subject = "flower" # subject that defines the style
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from controlnet_aux import HEDdetector
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blip_diffusion_pipe = BlipDiffusionControlNetPipeline.from_pretrained(
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"
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)
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controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-scribble")
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blip_diffusion_pipe.controlnet = controlnet
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import torch
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blip_diffusion_pipe = BlipDiffusionPipeline.from_pretrained(
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"Salesforce/blipdiffusion", torch_dtype=torch.float16
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).to("cuda")
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cond_subject = "dog"
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from controlnet_aux import CannyDetector
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blip_diffusion_pipe = BlipDiffusionControlNetPipeline.from_pretrained(
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"Salesforce/blipdiffusion-controlnet", torch_dtype=torch.float16
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).to("cuda")
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style_subject = "flower" # subject that defines the style
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from controlnet_aux import HEDdetector
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blip_diffusion_pipe = BlipDiffusionControlNetPipeline.from_pretrained(
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"Salesforce/blipdiffusion-controlnet"
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)
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controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-scribble")
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blip_diffusion_pipe.controlnet = controlnet
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