Text-to-Image
Diffusers
English
FluxPipeline
template:sd-lora
flux
lora
flux dev
image-generation
photo
Instructions to use AlekseyCalvin/ASSA_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/ASSA_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/ASSA_lora") prompt = "movie cover" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#3
by AlekseyCalvin - opened
- README.md +8 -0
- images/example_6jyukyvgg.png +0 -0
README.md
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@@ -56,6 +56,14 @@ widget:
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artever calls anyone out, solid background, vector art
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output:
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url: images/example_t5pikc3uk.png
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---
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artever calls anyone out, solid background, vector art
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output:
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url: images/example_t5pikc3uk.png
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- text: >-
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HST style autochrome color photograph of a clown punk parade passing through
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a futuristic city, diverse participants, all genders, close-up faces,
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attention to detail, detailed streets, vivid, daytime, gritty, analog
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camera, dslr, ((labeled with titular large text "ASSA LoRA" in bottom right
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corner))
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output:
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url: images/example_6jyukyvgg.png
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---
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images/example_6jyukyvgg.png
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