Instructions to use Texttra/BhoriKontext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Texttra/BhoriKontext with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Texttra/BhoriKontext") prompt = "-" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Update handler.py
Browse files- handler.py +1 -1
handler.py
CHANGED
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@@ -75,7 +75,7 @@ class EndpointHandler:
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output = self.pipe(
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prompt=prompt,
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image=image,
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-
num_inference_steps=
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guidance_scale=2.0
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).images[0]
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print("🎨 Image generated.")
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output = self.pipe(
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prompt=prompt,
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image=image,
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+
num_inference_steps=35,
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guidance_scale=2.0
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).images[0]
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print("🎨 Image generated.")
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