Instructions to use fatique/polybotsv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fatique/polybotsv2 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("fatique/polybotsv2") prompt = "medabots, purple and black, with cannon armor, white background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: medabots, purple and black, with cannon armor, white background | |
| parameters: | |
| negative_prompt: >- | |
| ng_deepnegative_v1_75t,(badhandv4:1.2),EasyNegative,(worst | |
| quality:2),,nsfw | |
| output: | |
| url: >- | |
| images/63f05a0a80d5d1b687cb582b5114241ff1a91c8345668b212d48e353229c406f.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: medabots | |
| license: mit | |
| # PolybotsV2 | |
| <Gallery /> | |
| ## Model description | |
| PolybotsV2 | |
| ## Trigger words | |
| You should use `medabots` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/fatique/polybotsv2/tree/main) them in the Files & versions tab. | |