Instructions to use FutureMindsAI/ATHF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FutureMindsAI/ATHF 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("FutureMindsAI/ATHF") prompt = "The image is a digital drawing in a cartoon style. It depicts a confrontation between a large, muscular man and a robot. The man, on the left side of the image, is bald with a brown beard and is wearing a white tank top and blue pants. He has a thick build with visible body hair on his arms, which are folded across his chest. He is pointing at the robot with an accusatory expression. The robot, on the right, has a humanoid form with a red and yellow torso, blue legs, and large, expressive blue eyes. It wears a helmet with red and yellow details and appears to be standing aggressively, with its arms bent and hands clenched into fists. The background features a simplified cityscape with grey buildings and a blue sky filled with dark clouds, indicating a stormy atmosphere. The overall scene suggests a dramatic, possibly humorous, confrontation between the man and the robot. The drawing style is bold and vibrant, utilizing solid colors and simple shapes to create a whimsical yet engaging visual., ATHF" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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