Instructions to use Jonjew/MonsterHunterValstraxArmor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/MonsterHunterValstraxArmor 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("Jonjew/MonsterHunterValstraxArmor") prompt = "cinematic photo HDR photo of mhrvvalstraxarmor, a man wear a red and sliver costume, holding a great tachi,Cinematic photography of a realistic one man solo cosplaying,Her eyes, a vivid shade of emerald yellow and The setting is indoors at a bustling convention hall, with other attendees in various costumes in the background. The hall is decorated with banners and booths showcasing different fandoms, creating a vibrant and energetic atmosphere typical of major cosplay events like Comic-Con or Anime Expo. sparkle with a blend of enthusiasm and playfulness, capturing the essence of the beloved character, male In this dynamic portrait ,standing in to full body featuring stunning sparkle with a blend of enthusiasm and playfulness, capturing the essence of the beloved charactercurtain, <lora:cosplay_flux_V1:0.6> ggasia11k cosplay concept <lora:mhrvvalstraxarmor:1> . High dynamic range, vivid, rich details, clear shadows and highlights, realistic, intense, enhanced contrast, highly detailed, 35mm photograph, film, bokeh, professional, 4k, highly detailed" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K