Instructions to use hgutjh/JJ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hgutjh/JJ with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hgutjh/JJ") prompt = "(b&w) photo of woman, jessicajones, long black hair, half body, body, looking at viewer, high detailed skin, skin pores, sfw, leather jacket, (coastline), overcast weather, wind, waves, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3 <lora:JessicaJonesV2:1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
JJ

- Prompt
- (b&w) photo of woman, jessicajones, long black hair, half body, body, looking at viewer, high detailed skin, skin pores, sfw, leather jacket, (coastline), overcast weather, wind, waves, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3 <lora:JessicaJonesV2:1>
- Negative Prompt
- ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for hgutjh/JJ
Base model
stabilityai/stable-diffusion-3.5-large